Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Now wanting to expand his team with new software engineers, ML engineers and AI engineers.

Executive Communications Manager

Research Engineer, Foundational Research

Research Engineer, Product, Mountain View

Research Scientist - World Modeling

Snapshot The role of the Technical Program Management Team is to organize and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change. Our program management skills help us tackle even the most complicated projects. By working hand-in-hand with researchers and engineers, we're constantly deepening our technical skills and making sure our work is always moving us closer to our mission. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As the Technical Program Management Lead for AI Studio and Gemini API, you will build and lead a high-performing team in a fast-paced environment characterized by continuous launches and a startup-like culture. You will be the strategic partner accountable for bridging cross-functional silos, accelerating the developer feedback loop, and ensuring the success of features and events. You must be AI-native, comfortable navigating extreme ambiguity, and capable of providing stability during rapid scaling. You’ll collaborate deeply with researchers, engineers, and product leadership to drive our mission-critical AI-first architecture. &nbsp;Key responsibilities Successful candidates will be able to:&nbsp; Bring clarity to ambiguity: partner with researchers &amp; engineers to turn open research questions into clear milestones and actionable plans Steer goal setting processes&nbsp; Track, report &amp; drive the most critical project dependencies, with an awareness of downstream dependencies Build, maintain and grow relationships with key stakeholders across the program Partner with multiple senior stakeholders across the organization, adapting your approach accordingly. Share critical information with key decision makers and influence positive outcomes. Ensure information is flowing through your programs, keeping leads, team members and partners up to date. Own and drive critical internal processes, such as the weekly AI Studio KR reviews, ensuring high accountability and strategic alignment across all objectives. Build and mentor a team of TPMs, managing their growth and aligning their efforts with 2026 strategic priorities. Accelerate the 3P developer feedback loop and oversee key workstreams like Auth, Billing, and technical strategy for Gemini API. About you In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: Technical degree or advanced working knowledge. Industry experience to partner on technical strategy. Extensive knowledge and expertise in technical program management with the proven skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change. Ability to quickly learn new technical domains, gaining sufficient working knowledge to understand the challenges and risk while balancing perspective and holding a broader view of trade offs and opportunities. Experience partnering with teams in fast-paced environments to drive large-scale program delivery from concept to completion, leading through multiple evolutions along the way.&nbsp; Demonstrated ability to prioritize, adapt to change, and provide flexible thought partnership in a rapidly evolving landscape. Openness to each month looking different to the last. Experience in partnering with senior engineering/research leadership and bringing straightforward solutions to complex spaces, both interpersonal and technical. Excellent communication skills, ability to develop meaningful relationships with key partners and use this to influence action and outcomes.&nbsp; Desire to continue hands on delivery contributing to the most critical technical challenges. You are demonstrably passionate about advancing AI. Proven experience in building and leading technical teams within a startup or high-growth environment. AI-native mindset with the ability to thrive in a culture of "agentic" excitement and constant innovation. Experience in a similar role within the AI/ML fieldExperience in a fast-paced environment such as a startupExperience working in a Program Management Office or similar function &nbsp; The US base salary range for this full-time position is between $227,000 - $320,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: March 9, 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Manager, Technical Program Management, AI Studio and Gemini API

Snapshot We are seeking a proactive, detail-oriented Executive Business Partner to support our VP, GenAI Research. You'll manage their complex schedule, build strong relationships, anticipate needs, and ensure seamless execution of key tasks. The ideal candidate will thrive in a fast-paced, dynamic environment, demonstrating exceptional problem-solving skills, anticipating needs, exercising sound judgement, and maintaining meticulous attention to detail. The ability to stay one step ahead and adapt quickly is essential. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are seeking an exceptionally capable Executive Business Partner to support our VP, GenAI Research. Paramount to this role will be ensuring their time is optimised and they can lead effectively within the GDM. You'll work closely with partners to ensure seamless coordination and execution of their strategic focus areas. In this capacity you will need to build relationships across multiple teams, fostering a culture of collaboration and incorporating the views of internal experts as needed. Key responsibilities: Strategically manage a complex and constantly evolving schedule of meetings and events, seamlessly coordinating across numerous time zones and a variety of stakeholders. Gather and synthesise information, proactively connect the dots, and serve as the Leaders’ eyes and ears on the ground to ensure informed decision-making. Manage &amp; support your Leaders’ priorities; anticipating challenges before they arise and using your initiative to problem solve. Build and maintain a trusted 1:1 working relationship with your Leader, alongside building effective relationships with their team. Support key meetings; circulating agendas, capturing notes and ensuring actions are complete. Prepare and design presentations for internal meetings and talks and review and refine internal comms on behalf of your Lead. Support operational tasks and processes; suggesting ideas for continuous improvement and performing meeting analysis to ensure your Leader's time is being used effectively. Organise team-wide offsites, events and socials (virtual or in person). Arrange frequent and complex travel for meetings, conferences, and international visits, which will involve frequent travel with the Leader throughout the year. Undertake financial and legal administration (e.g. expenses, purchase orders, signature requests, contracts and SOWs). Partner on key strategic projects with the GenAI senior leadership team and wider stakeholders, adding value and maximising impact About You In order to set you up for success as an Executive Business Partner at Google DeepMind, &nbsp;we look for the following skills and experience: You are highly organised with a proven track record in juggling multiple tasks, prioritising effectively and with impeccable attention to detail. You adapt quickly to change and thrive under pressure. You are comfortable with ambiguity and you anticipate problems with care. By being proactive, exercising good judgement and discretion, you are able to determine appropriate next steps and problem solve. You are a great teammate, a solid communicator and active listener and most of all passionate about supporting and enabling your Leader. You have excellent diary management experience and know how to make the most of every day, staying flexible and unflappable when priorities shift and change.&nbsp; You have extensive experience in using the Google Suite and other productivity enhancing methods. You instinctively act with total discretion and diplomacy and remain calm even in stressful situations. You are naturally curious; you ask questions to build knowledge and in order to think multiple steps ahead - no job is too big or small for you to get stuck in. You expertly manage stakeholder relationships by adapting your communication style and content to align with varying audience priorities and contexts. You drive cross functional collaboration and understand different contexts, audience and stakeholder needs You have previous experience working with senior leaders in global organisations&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy The US base salary range for this full-time position is between $114,000 - $167,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Executive Business Partner, GenAI

Snapshot This role is on the Post-Training &amp; Alignment Technical Program Management (TPgM) team. We drive the operational design and execution for the post-training area, enabling teams to make rapid progress on our mission. The core focus of this role is to lead the program management for improving the Gemini model in multi-turn interactions. You will be responsible for orchestrating the delivery of training, evaluations, and infrastructure, ensuring that our models improve efficiently and on schedule for future releases. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is a high-impact opportunity for an exceptional Technical Program Manager to cover a critical area of Gemini’s development for a 12-month period. You will work with a virtual team of contributors across MTV, NY, London, and Zurich, ensuring they can deliver on time for the next Gemini release. The role requires a high tolerance for ambiguity inherent in cutting-edge AI research, even more than classical software engineering. The role requires a highly organized individual who excels at managing complex stakeholder relationships and connecting teams across Google to drive successful outcomes. &nbsp; Key responsibilities: Drive the end-to-end delivery of SFT and RL training data for multi-turn interactions, creating and maintaining the structure (meetings, project plans) needed for on-time delivery. Dive deep into technical details, including understanding losses and evaluations, to ensure they accurately measure the problems we are trying to solve. Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable. Proactively identify and drill down into blockers, moving quickly to unblock the research and engineering teams. Coordinate across diverse groups within Gemini, including Release teams, Safety, and Model Behaviour, ensuring all stakeholders are aligned on plans and timelines. Manage high-visibility executive reviews, ensuring they are well-prepared, run smoothly, and provide clear visibility into program status. Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority. &nbsp; About You In order to set you up for success as the Multi-turn TPgM at Google DeepMind,&nbsp; we look for the following skills and experience:&nbsp; Requirements: 5+ years of leading large-scale complex programs, preferably across multiple geographies and time zones. Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership. Demonstrated success in fast-paced program execution and deliveries. Good understanding of large language models, with knowledge of multi-turn conversations or model behaviour and other alignment related topics in machine learning. Must be fluent in English and flexible to work cross-timezone. In addition, the following would be an advantage: Degree in Computer Science, Engineering or equivalent professional experience. Strong understanding of ML/AI principles and the distinctions from traditional software development.

Multi-Turn Technical Program Manager - 12 Months FTC - UK

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Google’s Visual Designers weave space, typography, color, iconography, and texture together to help people successfully navigate our products. We believe that all of our products should be beautiful and accessible.As a Visual Designer, you’ll rely on user-centered design methods to craft industry-leading user experiences—from concept to execution. Like all of our UX jobs, you’ll collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.&nbsp; We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI. The Role In this role, you will create a beautiful, intuitive, and highly scalable design language for Google Antigravity, ensuring a coherent and accessible experience for a next-generation product using agents to redefine how developers write software. You will collaborate with UX, engineering, and product teams to translate complex interactions into elegant visual solutions. You will be a system thinker with pixel-perfect craft and a portfolio showcasing experience in building and scaling design frameworks and systems. Key responsibilities: Collaborate with product managers and engineers to develop groundbreaking applications of Large Language Model (LLM) technology through beautiful and intuitive interface designs. Partner with cross-functional stakeholders (Engineering, Program Managers) to gain alignment and drive the adoption of new visual design strategies. Translate user insights, technical constraints, and product goals into a sophisticated and flexible visual framework that scales for future AI-driven experiences. Serve as the primary visual design expert, providing critical feedback and guidance to uphold a high bar for visual craft, polish, and system coherence. Own and drive a holistic visual design language for the team, ensuring consistency and coherence across all search journeys and contributing teams. About You In order to set you up for success as a Visual Designer at Google DeepMind, &nbsp;we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 3 years of visual design experience in product design or UX/UI design. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). In addition, the following would be an advantage:&nbsp; Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. Experience leading design projects. Experience working with Designers, Researchers, Engineers, Content Strategists, and Product Managers throughout the design process. Experience implementing visual design systems across platforms in an iterative software development environment, applying design tools (e.g., Figma, Photoshop, Illustrator, Sketch). Understanding of visual foundations and systems. The US base salary range for this full-time position is between $178,000 USD - $265,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

UX Visual Designer, Google Antigravity

Snapshot Google DeepMind is at the forefront of artificial intelligence research and development. Our diverse team pushes AI boundaries for positive impact, collaborating ethically and safely on real-world challenges. The Business and Corporate Development (B&amp;CD) team is vital to achieving DeepMind's mission. We cultivate strategic partnerships to further research and product priorities and maximise impact.&nbsp; This highly collaborative role leverages a deep understanding of Google DeepMind's strategy to identify partners and execute groundbreaking projects. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Business and Corporate Development manager, you’ll be part of the team that enables Google DeepMind's mission by identifying, supporting, shaping, negotiating and managing strategic opportunities to partner externally. We work in direct collaboration with our world-leading AI researchers, engineers and GDM’s leadership to develop an understanding of GDM’s research and business strategy and connect these to business needs.&nbsp;&nbsp; In this role, you will be driving product partnerships, acting as the primary thought partner for both internal teams and external organizations, shaping product partnerships and/or licensing opportunities from initial concept through negotiation to final execution, defining the partnership strategic vision, technical integration, and commercial structure. You’ll be collaborating with researchers, engineers, technical program managers, product managers and GDM’s CORE teams. Key responsibilities: Develop a deep understanding of Google DeepMind’s research, product and business strategy and connect them to business needs Lead the end-to-end deal process with strategic partners, including structuring and negotiating complex, first-of-their-kind agreements for joint research, technology/data licensing, and other strategic collaborations, coordinating with cross-functional stakeholders. Work with GDM leaders to proactively spot new opportunities, monitor emerging trends and inform our strategic partnerships agenda. Serve as the single point of contact and relationship owner for key external partners, driving long-term partner success and maximizing the impact of each collaboration. Collaborate with colleagues across Google to pursue impactful product partnership opportunities. About You In order to set you up for success in this role at Google DeepMind, we look for the following skills and experience: Significant experience in business development, strategic negotiations and partnership management in a high growth tech environment. Proven track-record of developing and negotiating product partnerships, licensing&nbsp; datasets and/or related technologies in a Research &amp; Product development setting (Academic or Corporate) Excellent relationship-building, communication, and interpersonal skills, confident in engaging researchers and engineers. Proven negotiation skills, problem-solving and analytical skills, with excellent business judgement, thought leadership and innovation. Strong analytical and reasoning skills to structure deals and handle technical, contractual and financial issues. Experience working with large scale datasets and/or machine learning. The ability to effectively influence and communicate cross-functionally with all levels of management including senior executives. PhD in a relevant subject&nbsp; (or equivalent work experience) Excited by our mission and AI / Machine Learning In addition, the following would be an advantage:&nbsp; Experience using a CRM (Salesforce) Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Business and Corporate Development Manager (GenAI Product & Data Partnerships)

Snapshot The ACE team focuses on enabling Gemini for advanced automation and powering innovative AI experiences across all modalities within Ads &amp; Commerce. We tackle unique research problems motivated by real-world needs in these domains, particularly where foundational models require further refinement. Specifically, we leverage Gemini’s cutting-edge multimodal understanding and reasoning capabilities to automate complex tasks such as feature discovery in recommendation systems and creative asset generation, thereby solving crucial research challenges that close the gap in our latest foundational models. We are a driven, collaborative, diverse team based in Mountain View that is part of the GenAI Unit. We collaborate closely with teams across Google DeepMind and Google Research, working closely on projects with our product partners and bringing together engineering teams with researchers, product managers, and program managers About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priorityThe Role You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference. You'll be part of a small project team led by Research Engineers, with close mentorship from Gen AI Unit leadership. The role offers the potential for partnership with Research Scientists and significant, short-term impact. Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial: Natural Language Generation and Understanding Multimodal Understanding Planning and reasoning Reinforcement Learning Agents About You We are seeking Research Engineers who can drive new research ideas from conception, experimentation, to productionisation in a rapidly shifting landscape. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project independently is a must. Minimum Qualifications: BSc, MSc in computer science, mathematics, applied stats, machine learning with 5+ years of relevant experience Proven knowledge and coding experience in Python and using Tensorflow/ Pytorch/JAX framework Hands on experience with training (pre and / or post training) and evaluating LLMs (e.g. SFT, RLFT) Proven industry experience, working on projects from proof-of-concept through to implementation Experience in applying experimental ideas to applied problems Great communication skills and proven interpersonal skills Preferred Qualifications: PhD/DPhil degree in computer science, mathematics, applied stats, machine learning Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models Experience applying and productionizing state-of-the-art large visual, language and multimodal research Software engineering skills and experience working on large-scale ML projects Contributions to open-source projects Cross functional collaboration experience Prior experience collaborating with researchers Prior experience working with product teams Publications at top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Engineer - ACE

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are seeking a highly motivated and innovative Research Engineer to join our team in Tokyo, focused on building the state-of-the-art in multimodal companion agents.&nbsp; You will work with researchers and software engineers developing a cutting-edge companion agent.&nbsp; This will involve utilizing the latest advancements in large language models (LLMs), particularly in the multimodal domain (vision, audio, text).&nbsp; The focus will be on developing more capable, robust, factual, actionable, co-presenting, and helpful companion agents, with the potential to impact millions of users.&nbsp; In this role, you will have the opportunity to apply your expertise such as LLM post-training and evaluation to create AI agents that can understand and interact with the world in unprecedented ways.&nbsp; This role offers a unique opportunity to collaborate with a world-class, cross-functional team at Google DeepMind, work on challenging problems, and develop innovative solutions in a dynamic and collaborative environment.&nbsp; If you are passionate about shaping the future of human-computer interaction through AI and are eager to make a significant impact in the rapidly evolving landscape of agentic technologies, we encourage you to apply. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As a Research Engineer at Google DeepMind, you will contribute to the development of the Gemini-powered multimodal companion, pushing the boundaries of AI to create an immersive and engaging user experience across various domains, including education, health, gaming, and other exciting areas.&nbsp; You will be working on cutting-edge research that directly contributes to the development of impactful products, pushing the boundaries of AI to create companion agents that can truly understand and respond to human needs. Key responsibilities Implementation &amp; Optimization: Translate research concepts into practical implementations by developing and optimizing multimodal AI models, and building and maintaining robust data pipelines for training and evaluation. Experimentation &amp; Evaluation: Design, implement, and run experiments to evaluate the performance and robustness of multimodal companion AI agents, using metrics and techniques like prompt engineering and few-shot learning. Contextual Interaction: Implement algorithms to enable the agent to analyze user interactions via vision and audio, providing contextually relevant assistance in voice. Collaboration &amp; Knowledge Sharing: Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment. Innovation &amp; Product Impact: Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that can be effectively integrated into Google products and services, contributing to product impact. About you You are a passionate and talented researcher engineer with a strong foundation and a proven ability to conduct impactful research and engineering in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research and engineering challenges. You are passionate about seeing research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.&nbsp; You are eager to see your research and engineering contribute to real-world applications and are driven by a desire to create positive change through AI. Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field. A minimum of 5 years of relevant professional experience. Experience with core software engineering and applied implementations of AI&nbsp; Innovate and assess new LLM advances and techniques for pilot projects, quickly demonstrating viability and potential impact.&nbsp;&nbsp; Solid understanding of deep learning, natural language processing, speech processing, and/or computer vision. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch. Strong programming skills in Python. Excellent communication and collaboration skills. In addition, the following would be an advantage:&nbsp; Experience with multimodal learning, LLMs, and/or companion AI agents. Strong publication record in top-tier AI conferences or journals. Strong track record in competitions in machine learning, data science, or AI in games. Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations. Familiarity with large-scale model training and deployment. Experience working in a collaborative, cross-functional team environment, particularly across different time zones. Experience with C++ is a plus. &nbsp;

Research Engineer - Multimodal Companion Agent

Snapshot Science is at the heart of everything we do at Google DeepMind. From the beginning, we took inspiration from science to build better algorithms, and now, we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning, computer science, physics, chemistry, biology and more, we’re optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Research Scientist working on Protein Design, you will play a key role in developing and validating cutting-edge AI tools for designing proteins with novel functions, such as enzymes. You will apply your expertise in computational chemistry to perform in silico analyses of protein-ligand complexes to develop predictors of protein function in the wet lab. You will use your engineering skills to set up and parallelize force-field calculations and/or molecular dynamics simulations on many design candidates. Additionally, you will work with machine learning and biology experts to troubleshoot and improve design methods. Finally, you will advise on and develop ambitious new research goals in protein and enzyme design, as well as biomolecular modelling more generally. Key responsibilities: Run molecular dynamics using classical or machine-learned force fields to analyze designed enzymes and develop predictive metrics for their activity in the wet lab. Develop engineering infrastructure to support computational chemistry calculations at scale. Train teammates in computational chemistry tools for biological applications. Work collaboratively with teammates from diverse scientific backgrounds to improve and expand the capabilities of protein design tools. Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing, in a fast paced environment. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: You are passionate about the potential of AI to revolutionize protein design and are motivated to apply your deep computational expertise to challenging scientific problems. You have a strong ability to think critically and creatively about complex issues in bimolecular modeling and simulation. You are a strong collaborator and communicator, skilled at explaining difficult concepts from your field to team members from diverse scientific backgrounds such as machine learning and biology. You are motivated to stay at the forefront of advancements in computational chemistry and their intersection with machine learning. REQUIRED SKILLS PhD in a relevant field (molecular modeling, computational chemistry, biophysics) or 3+ years equivalent experience in industry. Expertise in molecular dynamics and protein and organic small-molecule force fields. Hands-on experience setting up engineering infrastructure for running large-scale calculations. High attention to detail, persistence, and ability to independently implement and troubleshoot research projects. Skilled in teamwork and collaboration with computational and experimental researchers. In addition, the following would be an advantage:&nbsp; Post-PhD research experience. Expertise in any of: machine learning, quantum chemistry, machine-learned interatomic potentials, protein structure prediction or design. Experience or interest in modeling enzyme catalysis. A passion for AI and protein design! &nbsp; &nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist, Computational Chemistry for Protein Design, Fixed-Term Contract

Snapshot The mission of our team is to improve LLM's fundamental capabilities in retrieval and ranking.&nbsp; Information retrieval is central to Google. With the new generative AI experiences, it is an emerging problem to rethink how retrieval and ranking can be done and build the next-generation LLM-powered solutions. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role LLMs/Gemini have demonstrated impressive capabilities, yet it is an open question whether these models can be used to efficiently solve large-scale retrieval and ranking problems that are central to the Google business.&nbsp; The goal of our team is to study and build the next-generation LLM-powered retrieval and ranking model, providing an end-to-end generative experience.&nbsp; The work will have impacts on many applications and workstreams including Ads, Search, personalization/memory and long-context modeling. Our team has an extensive track record of building embedding and RAG style models at Google. With the new project and roles, we hope to go beyond the conventional embedding and RAG view and revolutionize how retrieval and ranking is done at Google. Key responsibilities: Develop new model architecture, training and inference techniques. Conduct large-scale analysis and experiment.&nbsp; Collaborate with different teams in the GenAI org and PAs and apply the techniques to real-world applications. About You In order to set you up for success as a Research Scientist at Google DeepMind, &nbsp;we look for the following skills and experience: PhD in Computer Science, or Machine Learning related field. Demonstrated experience in data preparation, training, and evaluation of LLM models. A strong record of publications in top-tier machine-learning related conferences In addition, the following would be an advantage:&nbsp; Experience in low-level programming optimizing LLM training and inference efficiency. Experience in information retrieval and ranking. The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist, Retrieval and Ranking

Snapshot&nbsp; &nbsp; &nbsp; Join our team and dive into&nbsp; one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on end-to-end model quality. Your crucial work will involve close collaboration with product and operations teams to ensure high-quality tool use integration and performance. About Us&nbsp; &nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role &nbsp; Sitting within the GenAI programs, this role is part of the Post-Training programs team. This role will work with core modeling and cross-functional teams to ensure end-to-end model quality for our release models.&nbsp; Key responsibilities Support Model Training:&nbsp; Collaborate closely with the modeling team to support core model training, meticulously track priorities, issues, and experimentation results, coordinate alignment, assessment, and communication with model capability teams, drive user testing and feedback collection to inform ongoing model development End-to-end Model Release:&nbsp; Own the end-to-end model release cycle. Manage checkpoint upload, generate comprehensive documentation, coordinate serving/deployment, capacity planning, and rigorous cross-functional testing. Provide proactive status updates to stakeholders, and effectively triage model issues back to the modeling team. Model Evaluation:&nbsp; Possess a deep understanding of AI model evaluation methodologies. Collaborate with data scientists to design and integrate model evals, execute evals, and conduct loss analysis to inform model quality.&nbsp; Process Optimization: &nbsp;Identify gaps in the current workflow and propose and implement strategic, scalable improvements to enhance efficiency and quality. In addition to the above, we expect you to&nbsp; Scope and drive complex, ambitious programs that span multiple teams, manage simultaneous projects balancing immediate deliveries with long-term strategic success.&nbsp; Thrive in rapidly evolving, ambiguous project environments, adeptly adjusting plans and strategies as project conditions change.&nbsp; Unite diverse teams for fast-paced execution and deliveries.&nbsp; Be the trusted owner of project status, proactively identifying dependencies, risks, and issues, ensuring clear progress and visibility across stakeholders.&nbsp; Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders. Be highly organized, self-motivated, consistently drive process improvements, streamlining and simplifying execution, and identifying tooling efficiencies if applicable. Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership.&nbsp; Requirements BS degree in Computer Science, Engineering, or related technical field 8+ years of leading large-scale highly complex engineering projects, preferably across multiple geographies and time zones Strong technical acumen - ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions.&nbsp; Experience in model training and model releases. Excellent skills in managing complex stakeholder relationships.&nbsp; About you &nbsp; In order to set you up for success as a Technical Program Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Demonstrated success in fast-paced program execution and deliveries Ability to interact with diverse technical and non-technical audiences, spanning all functions and organizational levels Excellent organizational, analytical, prioritization, communication and influencing skills. Ability to manage multiple concurrent complex interactions with geographically disparate teams. Exceptional skills influencing, team building, and delivering solutions in a highly complex, always changing, and nebulous environment. Self driven, excellent oral/written communication, interpersonal, and analytical skills. Outstanding organizational, prioritization, and multitasking skills. In addition, the following would be an advantage:&nbsp; Strong understanding of ML/AI principles and their distinctions from traditional software development Hands-on experience program managing AI model training Have well-rounded experience including working with research as well as delivering to production usage (deployment and launches) The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: October 3, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;&nbsp; &nbsp;

Technical Program Manager, Post-Training, Core Model

Snapshot At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. This is an exciting opportunity to join Google DeepMind and play a key role in shaping the future of the Gemini App Core Experience, for Gemini Live!&nbsp; As a Technical Program Manager, you'll drive the strategy and execution of high-impact Gemini launches across web, mobile, and iOS platforms. You'll be working directly with our Engineering, Product and UX teams and other GDM units on cutting-edge language models to deliver groundbreaking solutions to a massive user base. This role offers hands-on project leadership, the opportunity to build innovative features, and make a real difference in how people interact with AI. Join our dynamic, fast-paced, and startup-like environment where you'll be constantly pushing the boundaries of what's possible with AI. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is a unique opportunity to join the GeminiApp team and contribute to shaping the future of the Gemini App Core Experience in Gemini Live. This role will require the following skills: Lead and drive progress on critical feature launches across the Gemini Live ecosystem. Identify and manage cross-functional dependencies across teams and organizations. Partner with engineering and product leads to shape product direction and ensure successful execution. Drive engineering teams to identify, prioritize, and track tasks towards completion. Proactively identify risks, develop mitigation plans, and implement solutions. Communicate progress, risks, and plans to leadership regularly. Identify and implement process improvements to enhance team efficiency. Manage multiple time-sensitive projects concurrently. Foster a collaborative and inclusive team culture that values innovation and excellence. Advocate for the team's needs and ensure they have the resources and support to succeed. About You In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: Strong technical background with demonstrated expertise in machine learning and generative AI. Excellent program management and strategic planning skills to effectively drive projects forward. Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders In addition, the following would be an advantage:&nbsp; Master’s degree in Computer Science or a related field, or equivalent practical experience 10+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results &nbsp; The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp;12pm GMT Thursday 7th October 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Technical Program Manager, GeminiApp, Gemini Live

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Google DeepMind is building its flagship applied AI team in APAC, headquartered in Singapore. We are seeking a foundational technical leader in an external facing role for this new venture. This is a unique opportunity to build and lead a world-class engineering team that will deploy our latest models into 1 P and 3 P products. &nbsp;This team will partner with Google's lighthouse enterprise customers and government clients in APAC to solve their most complex challenges using DeepMind's most advancedAI models. This role requires a hands-on, entrepreneurial leader motivated to tackle challenging technical problems and drive the technical direction for facilitating novel use cases using Google's most advanced generative AI models. The Role This is a hands-on role requiring a unique blend of systems architecture, product strategy, and deep technical expertise with AI. You will be responsible for two primary objectives that form a powerful dual mandate: Drive Lighthouse Wins: Personally lead the technical strategy in engagements with C-suite executives to identify and deliver "art of the possible" AI solutions. You will architect novel systems, guide your team in deploying cutting-edge models, and create scalable playbooks to be handed off to the Google Cloud organization. Inform Foundational Model Development: Act as the crucial bridge between the market and our core research teams. You will distill messy, real-world feedback on model performance and deficits into actionable insights that directly influence the roadmap for Google DeepMind's next generation of models. Key responsibilities: Act as the Technical Visionary: Build and lead the Applied AI engineering team in APAC, fostering a culture of rapid innovation, technical excellence, and hands-on building. Co-Lead Lighthouse Engagements: Collaborate with Product Management to personally lead the technical strategy in C-suite engagements, architecting novel solutions for the most complex challenges faced by strategic customers and government bodies. Create the Playbook for Scale: Design and build repeatable solution architectures and playbooks to be handed off to the Google Cloud organization, enabling broad market impact. Foster Cross-Functional Collaboration: Drive deep collaboration across product management, GDM research, and Google Cloud teams to deliver integrated, cutting-edge solutions that meet evolving enterprise needs. Shape the Future of Gemini: Act as the crucial bridge between the market and our core research teams. You will translate messy, real-world feedback on model performance into a concrete R&amp;D agenda that directly influences the roadmap for Google DeepMind's next-generation models. Your team’s findings will be the proving ground that helps define what we build next. About You In order to set you up for success as a a Director of Engineering at Google DeepMind, &nbsp;we look for the following skills and experience: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 15+ years of experience in software engineering, with a track record of architecting and building complex, large-scale systems on cloud platforms. 10+ years of experience in a people management role, with direct experience building and leading engineering teams that have shipped successful software products in a fast-paced environment. Experience with machine learning or AI-powered applications. A self-motivated executor who can quickly comprehend complex technologies and articulate Google DeepMind's viewpoint externally. In addition, the following would be an advantage:&nbsp; Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field. Experience as a founder or in an early-stage startup environment, building a product or team from inception. Deep technical expertise in generative AI, including LLMs, fine-tuning techniques, and model orchestration. Experience in a client-facing or consulting role, architecting and delivering complex technical solutions for enterprise customers. Experience working with enterprise or government customers within the APAC region. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Director of Engineering, Google DeepMind, Singapore

Snapshot Bring groundbreaking AI capabilities to life on gemini.google.com. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role Develop the new feature for gemini.google.com by integrating its innovative AI capabilities. Key responsibilities: Driving cutting-edge model enhancements to gemini.google.com users, with constrained timeline. Resolve technical challenges and deliver high-quality products, while adhering to legal, privacy, latency, and TPU cost constraints. About you In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience: Previous experience on Android / iOS Proven track record in developing and successfully launching user-facing features. Demonstrated full-stack capabilities, encompassing both frontend and backend development. Strong aptitude for system design. Experienced full-stack engineers skilled in user-facing product development, encompassing client (Android / iOS) and backend services. Demonstrates robust system design skills and a solid grasp of Google's infrastructure elements. Sound judgment in foreseeing risks related to privacy, legal matters, marketing, public relations, and safety is essential. In addition, the following would be an advantage: Performance and latency optimization The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Mobile Software Engineer, Gemini App

Snapshot: We are the Gemini App team in Google DeepMind, building the next-generation AI assistant from Google. Be at the forefront of AI innovation with Gemini, featuring native multimodality, an expansive context window (up to 2 million tokens), and superior performance. Our mission is to empower billions of people by providing deeply personalised and helpful products. In this role, you will be a part of a team building a personal AI assistant that is tailored to the unique interests, passions, and curiosities of individuals. About us: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role: As a Research Engineer on the Gemini App Personalization team, you will build the next generation personal AI assistant on top of Google’s state-of-the-art Gemini models. Personalization is a top priority for the company, and we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live. We also plan to develop new personalization-related capabilities, including understanding and contextualizing relevant personal information, and using it appropriately in responses and tool invocations. The work encompasses a diverse set of tasks, including model post-training, evaluation, data retrieval and summarization, benchmark creation, data collection &amp; synthesis, model serving, and production deployment. Key responsibilities: Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack. Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities. Propose and implement targeted quality improvements via fine-tuning or prompting. Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality. Act as primary owner and critical judge of model output quality for specific personalization features. Contribute to the development of a robust data flywheel, driving continuous improvement and innovation. Partner closely with research scientists, engineers and cross-functional partners (product and program managers) to advance the business goals of the organization. About you: We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must. In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following “must have” skills and experience: BSc, MSc or PhD/DPhil degree in computer science or other quantitative scientific field, or similar experience working in industry, Solid proficiency in Python or C++, Deep understanding of machine learning and statistics, Experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks,&nbsp; Experience with deployment in production environments Experience working with LLM or ML evaluations systems, Solid understanding of Deep Learning fundamentals, including transformer architectures, attention mechanisms, and optimization techniques, Experience adapting LLMs (e.g. supervised fine-tuning, RLHF, prompt optimization), Experience with data pipelines and techniques for processing large-scale user data, Excellent communication skills and interpersonal skills. In addition, the following “preferred skills” would be an advantage: Experience in empirically-driven research and development, Experience working on personalization for machine learning models, Cross functional collaboration experience, Prior experience collaborating with engineers, researchers, and product teams, Experience with user modeling techniques tailored for personalization, Experience building and shipping features for large-scale, user-facing products. Research background in NLP / Generative AI The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm GMT Friday 19th September 2025&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Senior Research Engineer - GeminiApp Personalization, Mountain View

Snapshot This role is on the Post-Training &amp; Alignment Technical Program Management (TPgM) team. We drive the operational design and execution for the post-training area, enabling teams to make rapid progress on our mission. The core focus is to ensure the Gemini models are harmless, helpful, and honest through close collaboration with research and product teams. A critical function of this role is to manage and ensure that all model launches are safe and compliant, working directly with Google Trust &amp; Safety and Product Teams for secure downstream deployment. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an exciting, high-impact opportunity for an exceptional Technical Program Manager. You will be a key member of the go-to-market team, ensuring all GenAI product launches are safe and compliant. The role requires a highly organized individual who excels at managing complex stakeholder relationships and connecting teams across Google to drive successful outcomes. Key responsibilities: Lead the safe and compliant deployment of GenAI products, rapidly adjusting launch plans to ensure all evaluations and requirements are met.&nbsp; Partner closely with Product, Engineering and Google Trust &amp; Safety Teams to manage and organise GenAI Launches.&nbsp; Serve as the trusted program owner, clearly identifying dependencies, risks, and issues, and driving visibility and progress across all stakeholders for GenAI launches.&nbsp; Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority. Quickly grasp complex technical concepts and translate them into actionable program strategies.&nbsp; Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable. Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change. About You In order to set you up for success as the AI Safety Launch TPgM at Google DeepMind,&nbsp; we look for the following skills and experience:&nbsp; Requirements: 5+ years of leading large-scale product launches, preferably across multiple geographies and time zones. Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership. Demonstrated success in fast-paced program execution and deliveries. Good understanding of safety, factuality, instruction following and other alignment related topics in machine learning. Must be fluent in English. In addition, the following would be an advantage:&nbsp; Degree in Computer Science, Engineering, or related technical field Strong understanding of ML/AI principles and their distinctions from traditional software development. &nbsp; The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Technical Program Manager, AI Safety Launch

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot On the Frontier Strategy and Governance Team, we help Google DeepMind and society prepare for a world with advanced AI. To do this, we conduct research, brief senior leadership on AGI governance priorities, and drive strategic initiatives in partnership with GDM’s policy, safety and responsibility teams.&nbsp; We are a collaborative team, with expertise spanning political science, international relations, security, economics, history, technical AI safety, and other domains. We are interested in recruiting a wide range of expertise, including on forecasting, geopolitics, international relations, international security, global governance, political economy, technical governance, risk management, and the history of technology.&nbsp; We have a strong preference for people who can join in London, though we also have hubs in NYC and the Bay Area. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Researchers join Google DeepMind to work collaboratively within and across a range of research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience, AI, and AI policy and governance. We are looking to hire in mid-career and senior levels, though will also consider early-career candidates. Those coming from academia may join us from their PhD, post-doc, or professor positions. Key responsibilities: Prepare briefings and recommendations for Google DeepMind leadership. Proactively identify research and company initiatives that will have a meaningful impact on executive decision-making. Monitor trends and developments in the AI landscape and implications for AI safety, strategy and governance; cultivate relationships with external domain experts and partners; and share targeted updates with internal audiences. Produce insightful, engaging and actionable memos, research, and risk analysis that are easily digestible by internal decision makers. Propose, contribute to, and lead research projects related to the governance, safety, and security of advanced AI at Google DeepMind. Build and contribute to internal and external collaborations, through involvement in working groups, presentations, and the writing of memos.&nbsp; About You In order to set you up for success as a Researcher at Google DeepMind, we look for the following skills and experience: PhD or MA+ equivalent research, or practical experience in a relevant field. 5+ years of experience in positions related to governance, policy, or strategy research, or technical fields like technical safety, security, and hardware. &nbsp; Generalist with a breadth of abilities. Expertise in a relevant field (e.g. forecasting, geopolitics, international relations and international security, global governance, economics, technical governance, risk management, and the history of technology). Knowledge of the technical AI landscape, policy-making and history of major government decisions relevant to AI, and the global governance of AI. Professional communication, writing, and presentation skills. Ability to quickly get up to speed and synthesise complex material into accessible documents, tailored to different audiences. In addition, the following would be an advantage:&nbsp; Technical expertise (such as ML, AGI safety, security, forecasting). If you don't think you meet all the criteria, we encourage you to still apply. Applications close on Thursday 2nd April at 5pm.&nbsp;&nbsp;

Researcher, Frontier Strategy & Governance

Snapshot: As Director of Product Management for Robotics you will provide overall Product leadership for DeepMind’s Robotics program. You'll be responsible for setting the holistic product strategy for our Gemini powered robotic systems, driving product roadmap execution, and cultivating a robust ecosystem. This is a unique opportunity to shape the future of intelligent robotics and push the frontier of our capabilities and end product offerings.&nbsp; About Us: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Key Responsibilities:&nbsp;As the Director of Product Management for Robotics, you'll provide comprehensive product leadership, guiding the entire lifecycle of our robotic systems from concept to launch and beyond. You'll work closely with our Robotics Research and our Model teams to define and deliver cutting-edge products that integrate artificial intelligence and Gemini model capabilities to achieve enhanced functionality and autonomy. Product Vision &amp; Strategy: Define and evangelize the long-term product vision and strategy for our robotics portfolio. Roadmap Development: Own the end-to-end product roadmap for robotics, prioritizing features, capabilities, and new product introductions based on market analysis, customer needs / use cases, and technological advancements. AI Integration Leadership: Help drive the integration of Gemini models and their capabilities into our robotic systems, identifying opportunities to enhance autonomy, perception, decision-making, and user interaction through intelligent algorithms and machine learning. Ecosystem Development: Build and nurture strategic partnerships with key technology providers, academic institutions, and industry players to expand our robotics ecosystem and unlock new capabilities. Market &amp; Customer Insight: Identify unmet needs, use cases, emerging trends, and new business opportunities in the robotics space. Cross-Functional Leadership: Collaborate closely with Research, Program Management, and Marketing teams to ensure seamless product development, successful launches, and effective go-to-market strategies. Performance Measurement: Define and track key product metrics, utilizing data-driven insights to evaluate product performance, identify areas for improvement, and inform future product decisions. Skills &amp; Qualifications: In order to set you up for success as a Director of Product Management at Google DeepMind,&nbsp; we look for the following skills and experience: Graduate degree in Robotics or Customer ScienceBachelor's degree in Engineering, Computer Science, Robotics, or a related technical field and a Masters degree in Robotics or Computer Science.&nbsp; 10+ years of experience in product management, with at least 5 years in a leadership role focused on AI / Foundation models, robotics, or highly technical hardware/software products. At least 5 years of management experience, including managing senior PMs In addition, the following would be an advantage: Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behavior. Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems. Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products. Exceptional leadership and communication skills, with the ability to manage strategic partnership, influence cross-functional teams, and present complex technical information clearly to diverse audiences. Strong analytical and problem-solving skills, with a data-driven approach to product decisions. The US base salary range for this full-time position is between $272,000 - $383,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.&nbsp; Note: In the event your application is successful and an offer of employment is made&nbsp;to you, any offer of employment will be conditional on the results of a background&nbsp;check, performed by a third party acting on our behalf. For more information on how&nbsp;we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Director of Product Management, Robotics

About us Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Snapshot Join the Gemini App team and shape the future of AI development by learning from priority users!&nbsp; The GTM Program Manager is responsible for managing Gemini’s Priority User Program (PUP), and executing early testing of major product launches for Gemini with external AI trusted testers and thought leaders. Partner with product managers, leadership and other xfn partners to define testing roadmaps, enable complex product testing with priority users, and support GTM amplification. Thrive in a fast-paced, innovative environment where your strong user orientation and program management skills will directly impact Google's AI strategy. If you have a passion for AI, a proven track record of managing complex programs, and strong communication skills, we want to hear from you!&nbsp; The Role This is a 9 month fixed term contract opportunity to join the Gemini Priority User Program. Key Responsibilities Manage the rollout of bundled go-to-market product testing via PUP and coordinate priority user announcements leading up to testing and external launch events.&nbsp; Set program strategy, coordinate with XFN partners to prioritize testing roadmap, and serve as primary POC for leadership updates.&nbsp; Build strong relationships across Product, Marketing, UXR, Engineering, Legal, PR and other partners to coordinate complex product testing with priority users, and enable GTM amplification through this influential audience. Work with internal stakeholders to develop workback plans, identify critical path milestones and activities, and manage timeline risks and XFN dependencies. Own user management and engagement, including drafting of user early access launch communications and coordination of approvals with marketing and XFN partners.&nbsp; Provide governance and structure for the core team to execute against the key milestones, including managing meetings and internal communication channels, maintaining source of truth artifacts, managing program documentation and legal consents and more throughout the duration of the entire program. Manage exception paths and be the POC to triage and solve program level escalations. Drive improvements to the program and eliminate inefficiencies in order to scale and further operationalize the program. About You Highly organized and detail-oriented: You have a knack for keeping complex projects on track and ensuring that no detail is overlooked. Collaborative and team-oriented: You thrive in a collaborative environment and enjoy working with diverse teams to achieve shared goals. Passionate about technology and innovation: You're excited about the latest tech trends and eager to bring new products to market. Results-driven and accountable: You're committed to achieving results and taking ownership of your work. Great communicator and company ambassador: You excel at engaging with internal and external stakeholders,&nbsp; fostering strong relationships and trust Qualifications Bachelor's degree in business, marketing, or a related field Excellent communication and interpersonal skills Strong organizational and time management skills 5+ years of experience in go-to-market program management for consumer tech products Proven track record of success in coordinating and executing large-scale and complex programs 8+ years of experience leading cross-functional programs Experience working with Machine Learning and Large Language Models, or ML Ops Demonstrated experience with user research and/or launching features to consumers Proven track record of collaborating with and influencing stakeholders across various functions, especially in situations with little authority and considerable ambiguity Experience working in a startup environment Closing Date: 30th October 2025 The US base salary range for this position is between $147,000 USD - $216,000 USD Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know &nbsp;

GTM Program Manager, Gemini Priority User Program, US

Snapshot The role of the Program Management Team is to shape and accelerate the delivery of GDM’s highest priority programs to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making progress at pace. We build positive relationships with teams, bringing clarity to ambiguity and providing stability during change. We are active, curious and thoughtful about deepening our understanding of people and driving successful outcomes on programs.. We continually deepen our domain knowledge to ensure all our work is advancing towards our mission. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Sitting within our wider Operations Group, this role is part of the CORE Programs team. This team leads operational design and build across several parts of the business. Collaborating closely with all of GDM’s functions, CORE Programs has a unique central viewpoint of the business’ current and future needs with its core purpose to successfully deliver our most strategic and impactful initiatives, enabling Google DeepMind to grow, thrive and accelerate towards the mission in the most effective way possible. In this role you will continually move across a variety of high priority, company-wide programs and initiatives to scope and deliver against critical and continually evolving deliverables and set programs up for long term success. Working with partners across all teams, you'll build direction and structure, craft creative solutions and simplify complexity. This role requires someone who is innovative and collaborative in their approach to problem solving, and a history of being a self-starter. It’s crucial you have significant experience leading and managing both large-scale programs and rapid system improvements, excellent judgement and communication skills and a passion for continuous learning. Key Responsibilities: Portfolio Management Create and maintain a comprehensive and current Legal Team portfolio view of all priority programs, dynamically managing their prioritization, staffing allocations, and progress. Facilitate prioritization and resourcing trade-off discussions within Legal by providing clear data and analytics. Provide regular reporting on the Legal Team’s portfolio status - including progress, risks, and dependencies - to inform decision-making at all levels. Gain sufficient subject matter expertise across the Legal Team portfolio to offer a clear view based on your unique risk foresight across the portfolio. Business Case Building Rapidly assess the GDM internal operating environment and collaborate with diverse stakeholders to identify gaps and problem areas in the Legal Team’s operations in need of improvement, automation, and/or improved process and policy design. Lead the "incubation" of key ideas that are important but not yet fully prioritized or conceptualized, workshopping them into structured programmatic frameworks and actionable delivery plans. Develop robust business cases, where required, during the incubation phase to justify program initiation and resource allocation. Use your superb executive communication skills, and develop the relationships and expertise within the Legal Team and the rest of GDM, to rapidly bring critical business cases to live deployment. Program Delivery &amp; Stakeholder Management&nbsp; Lead both small-scale programs for rapid improvement against critical needs, and large-scale programs in highly complex areas. Develop and leverage your deep technical domain understanding in legal matters to drive rapid program progress. Drive end-to-end legal program design, planning, and delivery, expertly applying program methodologies, tools, and techniques such as critical path management, program planning, dependency tracking, program reporting, and decision-making frameworks. Partner effectively with multiple senior stakeholders across the organization, adapting communication and engagement approaches to diverse audiences. Proactively share critical program information with key decision-makers, influencing positive outcomes and fostering alignment. Operational Excellence &amp; Team Leadership Collaborate with leaders, researchers, engineers, and wider teams to translate Legal Team work into clear, actionable objectives, proactively managing risks, anticipating issues, and developing creative solutions. Navigate ambiguous and changeable environments with agility, maintaining accurate program documentation, tracking progress meticulously, and proactively proposing solutions to emerging issues and risks. Foster strong Legal Team engagement by building positive relationships, offering constructive feedback, challenging conventional thinking, and inspiring team members to reach their full potential About You In order to set you up for success as a Program Manager at Google DeepMind, we look for the following skills and experience: Extensive experience in delivering legal programs. A background in AI-related legal matters is preferred. Experience partnering with organizational leadership in areas such as legal, compliance, regulatory affairs, policy, and/or other related areas. Extensive experience in managing sizable programs across a variety of operating environments, with proven skill to navigate through ambiguity and adjust and adapt program strategies as conditions change. Experience of operational improvement programs, including process, policy, systems, and operating model change. Instinctual understanding of how systems, process, policy, and people intersect to create productive operating environments. Experience in managing complex programs and organisational change, solving challenges and implementing sustainable solutions. Extensive experience partnering with senior stakeholders, adapting approach to stakeholder preferences and navigating conflicting priorities Strong communicator, able to quickly develop meaningful relationships with key partners and use these to influence action and outcomes Experience in leading individuals from a diverse set of backgrounds in an ambitious environment Experience supporting teams in fast-paced and constantly evolving environments. Some experience in a Research, Product or Tech environment preferred but not required. Naturally curious and enjoy working across a large range of different subjects with ease, quickly gaining the knowledge you need to be effective. Humbly productive, flexible under pressure, and positive even when things get tough. Passionate about our mission, proactive about learning and acquiring knowledge to enhance your experience. The US base salary range for this full-time position is between $147,000 - $216,000+ bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Program Manager

Research Engineer, AI for Weather and Energy San Francisco At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our team is part of our Sustainability Program, whose aim is to&nbsp;revolutionize environmental sustainability with AI. We conduct fundamental research which develops novel AI methods, and we translate our research advances into real-world applications and products. Notably,&nbsp;our team pioneers AI weather models, including award-winning GraphCast, GenCast and FGN, which are revolutionizing weather forecasting. We prototype research ideas, scale them and deploy our models in real-time.&nbsp; This role focuses on developing cutting-edge deep learning and engineering methods, and applying them to sustainability challenges, with opportunities to work on problems related to weather, climate, energy, and other key domains. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role Research Engineers at Google DeepMind lead our efforts in developing and scaling novel algorithmic methods that push the frontier of AI and its applications. We are looking for creative thinkers with strong algorithm-design and programming skills, with expertise in, or passion for, environmental sustainability. We are seeking an engineer who excels at building robust, scalable software systems for machine learning research and applications. We particularly value strong technical experience with modern machine learning architectures, scaling models, and optimizing throughput. Key responsibilities Design, implement, scale and evaluate state-of-the-art deep learning models (e.g., Transformers, GNNs) and software prototypes for sustainability-related problems. Build robust and scalable data processing and training pipelines to enable rapid research iterations. Report and present findings and developments clearly and efficiently, both internally and externally. Contribute to team collaborations to meet ambitious research and product goals. Engage with application and product needs, to inform research and engineering decisions. About you In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or equivalent practical experience. Strong background in deep learning, with proven experience with relevant architectures (e.g., Transformers, GNNs, etc). Strong background in machine learning foundations (esp. supervised learning, probabilistic modeling, graph-based learning, and/or optimization). Excellent software engineering skills with a proven ability to build robust and scalable systems. Proficiency in deep learning frameworks like JAX, TensorFlow, or PyTorch is essential. Experience with either large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure. In addition, the following would be an advantage: Core contributor to OSS projects. Experience with Python and its ecosystem. Experience with remote sensing data. Experience translating research innovations into product applications. Commitment/experience/expertise in weather/environmental sustainability and/or allied areas (e.g., fluid dynamics, complex systems, combinatorial optimization, remote sensing). A proven track record of publications in top-tier conferences and/or journals. The US base salary range for this full-time position is between $182,000 - $215,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our&nbsp;Applicant and Candidate Privacy Policy.

Research Engineer, AI for Weather and Energy

Snapshot Work with research scientists and engineers to advance the capabilities of CodeMender, an AI agent for code security. Together, you will apply ML and advanced program analysis techniques to make software more secure. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role AI’s cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up. We recently announced CodeMender, an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that’s both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process.&nbsp; As a software engineer in the CodeMender team, you will build prototypes and demos that leverage AI for code security, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly. The preferred locations are Mountain View, San Francisco, or New York. Key responsibilities: Developing strategies and solutions to advance the agent's abilities to solve code security challenges. Integrating novel agentic techniques into research prototypes. Building evaluation pipelines, benchmarks, and leaderboards. Scaling agent infrastructure and developing tools for agentic workflows. Working with product teams to gather research and product requirements. Deployment of research-based solutions to products. About You We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and at times change course if our ideas don’t work out, so flexibility and adaptability to work is a must. In order to set you up for success as a Software Engineer at Google DeepMind in our team, we look for the following skills and experience: MSc or PhD/DPhil degree in computer science or Bachelors in Computer Science or related field with 3+ years of relevant experience. Experience building large-scale infrastructure and developer tools. Large contribution to the code and (co-)leading the development in the project(s) above. Experience building AI tools/agents for coding is highly desirable. Experience building ML-based applications is preferred. Experience in security and open source development is a plus. Independent, self-starter attitude. Passion for the mission above. The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Software Engineer, AI for Secure Code

Snapshot Google AI Studio is the front door for millions of developers to explore and build with Google DeepMind's most advanced generative models. Over the last 2 years, we have grown the Google AI Studio foot print from tens of thousands of builders to tens of millions. We are looking for a Program Manager to drive growth initiative and accelerate the adoption of AI in the builder ecosystem. You will own various programs across the end to end product lifecycle, both internally and externally facing, impacting millions of builders.. This role is about building a platform that fundamentally changes the fabric of how Google builds with AI. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Your mission is to get AI Studio and the Gemini API in front of millions of more builders by running strategic growth programs and engagements with the wider ecosystem.&nbsp; You will work across Google teams to unlock hidden leverage so that we don’t need to reinvent the wheel in places Google already has existing work we can copy from. Key responsibilities: Define and drive the growth strategy, partnering closely with product, marketing, and more. Be a day one user of all our products and tools, deeply understanding how our users build with AI. Help scale existing efforts that are successfully growing the product across organic and paid channels. Partner with Marketing to double down on efforts like Swag, media, and more, serving as a key bridge between marketing and product. Partner closely with product leadership to land high impact, short turn around efforts around major launch moments. Identify ways to grow our reach and usage in key areas where Google doesn’t already have deep penetration, then build and execute programs to change this. &nbsp; About You In order to set you up for success as a Program Manager at Google DeepMind, we look for the following skills and experience: Requirements (Minimum Qualifications) 5+ years of Program Management or similar experience.Experience using AI tools.Strong cross functional expertise allowing you to work with anyone from engineering to marketing. In addition, the following would be an advantage: Experiencing doing Media work. Exceptional stakeholder management and influencing skills, with a proven ability to drive alignment and build strong partnerships across large, complex organizations. Experience in developer relations, advocacy, or driving the adoption of new technologies within an enterprise environment. A deep passion for rapid prototyping, developer creativity, and the potential of generative AI to transform workflows. Entrepreneurial mindset; experience identifying strategic opportunities and building a program or product from the ground up. Excellent communication skills, capable of articulating a clear, persuasive growth vision to both technical and non-technical audiences at all levels of leadership. &nbsp; The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 23 January 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Growth & Ecosystem - Program Manager, AI Studio

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence, including building interactive world models. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We are looking for Research Scientists to join the Robotics team whose mission is to build “Embodied AI” to power the next generation of helpful robots. The Role Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.&nbsp; Key responsibilities: Design, implement, train and evaluate large world models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities. Write software to implement research ideas and iterate quickly. Leverage your expertise to participate in a wide variety of research building towards breakthroughs in general purpose robotics and contributing towards our flagship Gemini Robotics models. Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. Working with real robots in the lab to bring these breakthroughs to life in real hardware Generate creative ideas on how to improve the fidelity, interactivity, and generalization of world models, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: PhD in a technical field or equivalent practical experience. Knowledge of the latest in large machine learning research.&nbsp; In addition, the following would be an advantage:&nbsp; A track record of building and training world models, and experience deploying these models in simulators or on real-world robots. Expertise in using large datasets with deep neural networks to make real robots useful. Expertise in 3D computer vision, computer graphics, physics simulation, image and video generation models. A real passion for AI impacting real world robots! The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist, World Models for Robotics

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine, and we have all the ingredients in place to make further significant progress over the coming years to real world impact About Us We’re part of a broader dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit and advancing medicine and healthcare for all.&nbsp; We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. The Role Design and craft beautiful and engaging, multimodal front-end experiences for the real-world scaled deployment of conversational medical AI systems, both for patients and doctors. You’ll work with a group of research scientists and engineers on a mission-driven team with high agency in a fast-paced environment.&nbsp; Be a master of your craft in front-end engineering and an adaptable engineer who is excited and capable to also contribute hands-on throughout the stack and in back-end components of the system in service of our mission. Collaborate with researchers and engineers to build scalable infrastructure for deployments of conversational medical AI systems, respecting all aspects of domain-specific compliance. Key responsibilities: Design, develop and implement high-quality, responsive and multimodal (text, audio, video) user interfaces for groundbreaking conversational AI experiences in healthcare, both with patients and doctors Implement efficient and reusable front-end systems that drive complex interactions in web applications and possibly mobile applications Collaborate with colleagues and possibly engage in full-stack development if required for engaging user experiences Partner closely with research, product, and design to bring new features and medical AI capabilities to real-world deployments Incorporate your passion for advancing human health and any previous knowledge or academic experience to join a team of hardworking individuals who openly collaborate with one another. About You Software Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both.&nbsp; In order to set you up for success as a Software Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: Experience designing and developing high-quality, engaging, and responsive front-end user interfaces Experience building and deploying web applications at scale using TypeScript, React, and other web technologies and similar frameworks Experience building mobile applications Experience developing and deploying front-end experiences for LLM-powered system Experience designing interfaces with real-time, multimodal (text, audio, video) interfaces for generative AI applications Proven ability to work independently as a product-driven engineer, solving for complex product specifications with minimal supervision In addition, the following would be an advantage:&nbsp; Experience in full-stack development using C++ and/or Python Experience working in research teams or in the context of scientific research Experience with compliant enterprise product development and data management in production &nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp; &nbsp;

Software Engineer, Medical AI

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority The Role We are looking for a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. You will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops. This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing. Key responsibilities: Antigravity Data Flywheel Owner: Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams. Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams. Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis. Model Deployments: Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models. User Signals Program: Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues. Coordinate with vendors for product testing and report on key findings to the engineering and product teams. Enable Engineering and Research Team Velocity: Manage compute resources for modeling efforts and support team infrastructure needs. Act as a point of contact for resolving technical issues for the team. About You In order to set you up for success as a Technical Program Manager at DeepMind, &nbsp;we look for the following skills and experience: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of experience in a technical program management role in a research environment. Experience working with machine learning models, data pipelines, and evaluation processes. Strong analytical skills and experience with data analysis. In addition, the following would be an advantage:&nbsp; Master’s degree or PhD in Computer Science or a related technical field. 8+ years of relevant work experience in a technical environment. Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics. Experience working with modeling research teams, including managing model training and deployment processes. Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority. Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&amp;D environments. &nbsp; The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm PST Tuesday 23rd December 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Technical Program Manager, Antigravity (Modeling & Evals)

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role The Autonomous Assistants team will conduct research into methods, models, and tools which will seek to imitate—and eventually replicate—behaviours and capabilities which make humans helpful and collaborative, and able to support one another. The team will have a strong focus on application and evaluation-driven research, whereby fundamental questions about autonomy, responsibility, and intelligent reasoning and understanding, are pragmatically studied under the lens of whether and how they improve the ability of our systems to practically help us in real-world tasks. Key responsibilities: Design and implementation of use-case-focussed technology prototypes Design and implementation of (often human-driven) evaluation protocols Partner with research scientists to design and/or implement candidate technical solutions to practical challenges surrounding the assistant technology use-case(s) being focussed on by the team Keep up with technical developments with regard to tooling, frameworks, and other technologies surrounding: the training and fine-tuning of large models; the collection, processing, and storage of data; the design , implementation, and running of shared evaluation exercises; LLMs (including multi-modality); tool-use; reasoning, memory, and self-improvement; etc. About You In order to set you up for success as a Research Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: A strong academic record, ideally at MS/MSc/MEng level or above Ideally, industry experience involving engineering work pertaining to neural networks, or ML methods in general — i.e. experience with the workflow of a machine learning project, from idea prototyping to analysis and debugging Strong knowledge of Python, and strong software engineering skills (writing clear documentation, learning new frameworks and APIs, organizing codebases) Strong knowledge of machine learning, working knowledge of statistics Experience working with accelerators like GPUs and TPUs Experience with large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure. In addition, the following would be an advantage:&nbsp; Experience with LLMs, in particular with fine-tuning and associated methods (RLHF, preference optimization, etc) Experience with data collection/annotation and evaluation/benchmarking, including benchmark design Experience in large-scale training, with a focus on compute-optimal configuration, hardware profiling, and training stability at scale. Experience with the production and dissemination of research artefacts (papers, technical reports, research framework documentation) Experience with UX/UI, or at least the ability to partner with specialist engineers to deliver useable software prototypes A passion for developing working prototypes of ML-powered technology, especially in the assistant technology space At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Applications close Monday 12th January at 17:00 GMT.&nbsp; &nbsp; &nbsp;

Research Engineer, Autonomous Agents

Snapshot We’re hiring an experienced Model UX Content Designer to play a critical role in our Growth and Discovery initiatives. You’ll be responsible for developing and implementing content and model behavior standards, architecting scalable frameworks and processes. You’ll create robust response strategies, system instructions, rubrics, evaluation methods, and guidelines to support innovative ways of introducing the Gemini App to global audiences and ensuring our users consistently uncover its most exciting capabilities. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Content Designer on Growth and Discovery, you’ll be responsible for crafting novel and intuitive experiences that leverage Gemini’s model output to help users easily discover new features and deepen their engagement with our product.&nbsp; You'll operate as a strategic partner, collaborating cross-functionally with product managers, engineers, UXers, data scientists, and marketers. Together, you'll ideate, design, and implement solutions that not only enhance the user journey but also drive key growth metrics. A core aspect of this role involves becoming an expert in our users' needs. This means gaining a profound understanding of diverse user behaviors, preferences, and pain points across various geographies, platforms (web, mobile, etc.), and audience segments. You'll leverage this expertise to inform your design decisions and ensure our solutions are truly user-centric. Furthermore, you'll actively partner with design teams across the broader organization. By understanding their feature roadmaps and strategic objectives, you'll identify opportunities to seamlessly integrate discovery and engagement mechanisms, ultimately ensuring we deliver continuous and meaningful value to our customers. Key responsibilities: Set the quality bar by creating principles, response strategies, and examples that define what good looks like. Establish comprehensive content standards and specifications for Gemini models, addressing factors like factual accuracy, privacy, safety, personality, tone, and style.&nbsp; Drive continuous model improvement by diagnosing quality gaps and developing scalable, strategic frameworks—including guidelines, technical instructions, and cross-functional alignment—needed to scale response excellence. Partner closely with cross-functional teams, including engineers, product managers, researchers, and data scientists to to shape the behavior of LLM models in support of growth strategies. Understand users and advocate for a user-centered approach to model output, ensuring that the content the model generates meets the needs and expectations of our users. Deeply understand model training methods and processes, and stay up-to-date on the latest advancements in generative AI. About You We’re looking for a systems thinker with strong skills in content strategy, conversation design, and problem-solving, anchored by a passion for the craft of writing. You’ll have experience developing guidelines, exemplary content, evaluations, and rubrics for LLMs, as well as writing and editing in a fast-paced, agile environment. Leveraging complex cross-functional partnerships, you’ll work with product, engineering, research, and data science to articulate and guide product strategy. To set you up for success as a UX Content Designer at Google DeepMind, we look for the following skills and experience: Demonstrated Strategic Impact &amp; Leadership: Experience shaping content for strategic initiatives in relevant areas, such as hardware, software, digital agencies, creative industries, or journalism. Mastery of Writing Craft &amp; Execution: A portfolio of work demonstrating intuitive, systems-aware content solutions with exceptional craft and strong rigor. Recognized as a "go-to" expert, sharing knowledge and elevating team skill. Adaptability: Thrives in complexity, continuously learning and adapting with a growth mindset. Evolves strategies and processes as needed. Fluency in AI product design process: Experience training and tuning large language models or other generative AI technologies. Experience gathering and working with data to identify loss patterns and create actionable insights In addition, the following would be an advantage:&nbsp; Growth and discovery expertise: experience in driving successful growth and discovery initiatives for digital products. AI Prototyping: ability to build functioning prototypes to demonstrate ideas and drive cross-functional alignment. The US base salary range for this full-time position is between $165,000 USD - $245,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.&nbsp; &nbsp; &nbsp; &nbsp;

Staff Model UX Content Designer, Gemini App

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us &nbsp; The Role XXXX Key responsibilities: &nbsp; About You In order to set you up for success as a Research Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: In addition, the following would be an advantage:&nbsp; &nbsp;

Research Engineer, ML Pathways

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Who are we? Real-Time Dialog team in GDM Audio Our mission Mission: We are building the next generation of conversational capabilities, powered by the Gemini LLM. Our mission is to empower multimodal conversational agents with groundbreaking speech and audio capabilities. By starting with LLMs that natively understand rich audio input, we aim to create agents that can orchestrate all aspects of a dialog. This includes knowing when to listen and wait, when to interrupt, reading the emotive style, and coordinating complex multimodal interactions that span audio, video, and text. As part of the gemini audio team, our mission is to create, scale, and productionize novel capabilities into the core Gemini Model, impacting many product areas across Google. Team Objectives: Create real-time dialog capabilities for Gemini agents that seamlessly span audio, video, and text modalities. Pioneer end-to-end ML/Gemini architectures that streamline the dialog process, minimizing the need for complex model cascades. Direct impact on Gemini core model development - setting the direction for real-time dialog capabilities covering pre-training and post-training. Collaborate on deployments in Gemini Live (GL), Cloud, XR (Glasses), Astra, and other product areas pushing the boundaries of multimodal interaction research. Scale core modeling advancements to meet product requirements / model families, including latency, safety, and factuality. Job responsibilities As a Senior Research Engineer, you will: Lead efforts to produce more natural and capable real-time dialog agents Collaborate closely with other teams on areas like reasoning, function calling, and multi-agent frameworks Partner with product teams design, develop, and deploy novel multimodal conversational agents. Create new data pipelines covering both real and synthetic sources, influencing pre-training and post-training (SFT &amp; RL)&nbsp; About You In order to set you up for success as a Research Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: Bachelor degree in Computer Science, a related field, or equivalent practical experience. Significant industry experience building and deploying Speech / ML models. Demonstrated experience in data preparation, training, and evaluation of ML models. 5 years of experience with software development in Python, esp. ML frameworks like Tensorflow, JAX, PyTorch, etc. In addition, the following would be an advantage: Ph.D. in Computer Science or a related field. Experience with multimodal foundation models. Experience with real-time multimodal dialog systems. Hands-on experience with the Gemini models (data processing, training, SFT, RL, serving). Research background in NLP / Generative AI Experience with C++ The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Research Engineer, Audio Dialogue

Join the Forefront of AI Innovation as an Executive Business Partner with GeminiApp! Who are we? We're the GeminiApp team at Google DeepMind, on a mission to build the most helpful and personal AI assistant, giving everyone direct access to Google’s latest and most capable AI models. We are at an exciting inflection point, transforming how people collaborate with generative AI to enhance their productivity, spark creativity, and satisfy their curiosity. Our work is built on pioneering advances in multimodal LLMs, and we thrive on rapid iteration, constantly learning and evolving as we develop groundbreaking features. We're committed to responsible innovation, guided by our AI Principles, ensuring we make information and computing more accessible and useful. If you're energized by shaping a technology that's still in its early, dynamic days and are passionate about making a tangible impact on how people interact with AI, you're in the right place! This Executive Business Partner role will provide dedicated support for our GeminiApp Product team - one VP and one Senior Director -&nbsp;based in Mountain View (MTV) with a hybrid model of 3 days in-office per week. What you'll get to do (Job Responsibilities): This isn't just about support; it's about strategic partnership and impact. You'll be at the heart of a team working at lightning speed to make Gemini the most helpful and personal AI assistant. Your contributions will include: Providing proactive, strategic administrative partnership to your executives, masterfully managing complex calendars, global travel, and expenses.&nbsp; Collaborating closely with your executives and their teams, ensuring strategic projects launch successfully by anticipating roadblocks, driving timelines, and facilitating communication. Spearheading the creation and execution of impactful internal and external meetings, offsites, and events that drive project milestones, foster team cohesion, and align with strategic objectives. Tackling complex challenges and ambiguous situations with initiative, creativity, and minimal guidance, delivering innovative and effective solutions. Serving as a trusted thought partner to your executives, anticipating needs, providing insightful recommendations, and proactively optimizing team operations and workflows. Championing operational excellence by identifying opportunities for improvement and developing/implementing scalable processes to enhance team efficiency and effectiveness. Lead and mentor the team of Administrative Business Partners who support your executive's direct reports, ensuring clear communication, and the effective cascading of essential operational and strategic information.&nbsp; Who we're looking for (The Ideal Candidate): You're a highly motivated, exceptionally organized, and proactively forward-thinking individual who shines with autonomy and thrives as a collaborative leader. You bring impeccable judgment and discretion to your work, coupled with advanced critical thinking and a knack for sophisticated problem-solving. You navigate complex situations with composure, tact, and grace, and flourish in a dynamic environment where candid communication and constructive feedback are valued. Your positive and engaging approach helps energize the team and contributes to a collaborative spirit. What makes this role uniquely exciting at Google: Working as an Executive Business Partner on the GeminiApp team offers a distinct opportunity to operate at the epicenter of AI development at Google. You'll partner with brilliant minds and directly influence the trajectory of GeminiApp. Here, you’ll be encouraged to think beyond the immediate task, proactively finding creative solutions and taking ownership to make things happen. We're a highly collaborative team that moves quickly and adapts fluidly, much like a start-up. You won't just support our culture; you'll actively help build and energize it – fostering an environment of innovation, shared responsibility, and continuous growth. Key to your success here: Your ability to be incredibly flexible, adaptable, and proactive will be paramount. A rapid learning curve, an enthusiastic embrace of new challenges, and the drive to find solutions independently in a dynamic setting are what will make you soar as a GeminiApp Executive Business Partner. Minimum qualifications: BA/BS degree or equivalent practical experience. 5 years of administrative experience in a high-tech or international environment, excelling at core tasks (e.g., travel management, expense reports, calendar management, facilities coordination). 5 years of direct executive support experience, supporting VP-level executives, or highly transferable experience. Preferred qualifications that will make you stand out: 5+ years of administrative experience supporting senior executives in a dynamic, fast-paced corporate or start-up setting. Proven success in leading and managing complex projects and events from concept to flawless execution. Experience supporting leaders with intricate global organizations, adeptly navigating diverse cultures and time zones. Prior ABP (Administrative Business Partner) experience at Google. A natural ability to quickly master new tools and technologies, with a passion for leveraging them to boost efficiency and productivity. Deep understanding and practical application of project, program, and process management principles to solve operational challenges. Impeccable discretion and confidentiality on all business matters. Exceptional ability to communicate, collaborate effectively, and build strong relationships with a diverse range of people, job functions, and leadership levels. Demonstrated ability to thrive in ambiguous situations, manage competing priorities, and adapt swiftly to changing circumstances with composure and good judgment. A strong desire for continuous learning, a willingness to step beyond your comfort zone, and the initiative to take on new challenges. Outstanding written and verbal communication skills – clear, concise, engaging, and professional. A track record of thriving in ambiguous, complex, and rapidly evolving work environments. A genuine passion for technology, user experience, AI, and the future we're building at Google. The US base salary range for this full-time position is between $114,000 - $167,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our&nbsp;Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Executive Business Partner, GeminiApp

About the Team Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. About the Role As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology. What You’ll Do Partner with product, engineering, and UX to develop data-driven product strategies Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights Develop and implement novel, goal-oriented metrics Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience Communicate findings &amp; recommendations to stakeholders, including executives Champion data-driven culture by feeding user engagement insights back into models Collaborate with the GenAI team on model quality and feature adoption Act as a technical leader for the local team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work [For L6 only] What We're Looking For A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge. Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems. Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R. Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions. A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption. A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information. Why You'll Love Working Here Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world. Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs. Team &amp; Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it. &nbsp; The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Staff Data Scientist, GeminiApp

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We are looking for Research Scientists to join the Robotics team whose mission is to “Build embodied AI responsibly to benefit people in the physical world. This role is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models. The Role Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics.&nbsp; Key responsibilities: Design, implement, train and evaluate large models and algorithms for humanoid robots.&nbsp; Make breakthroughs and unlock new humanoid safety capabilities. Areas of focus include: Algorithmic and model development to improve a robot agent's understanding of it’s own embodiment and VLA capabilities; Learned policies for appropriate responses around people, and responses in atypical situations such actuator faults; Human Robot Interaction Write software to implement research ideas and iterate quickly. Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: PhD in a technical field or equivalent practical experience. Knowledge of the latest in large machine learning research.&nbsp; Experience working with real-world robots In addition, expertise with a subset of the following would be an advantage:&nbsp; Research track record in one or more of the following topics: Humanoid Whole Body Control, Vision Language Action models; Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning and Reinforcement Learning, Sim2Real Transfer, Alignment Techniques&nbsp; Expertise in using large datasets with deep neural networks to make real robots useful &nbsp; The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist, Safe Humanoid Robots

Snapshot At Google DeepMind, we are building the future of artificial intelligence, and safeguarding our research, people, and products is a foundational mission. The Security &amp; Privacy organization enables the entire company to pursue its ambitious goals responsibly.&nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Google DeepMind is seeking a highly experienced and technical Senior Technical Program Manager to drive impact across research efforts in our security and privacy team. In this role, you will partner closely with our world-class researchers and engineers to to translate research on distillation defenses into robust, scalable production realities for our industry-leading frontier models. Your work will be the driving force behind ensuring our most powerful AI innovations remain secure from unauthorized cloning while remaining accessible to legitimate users and developers. Key responsibilities: Safeguard Model Intellectual Property: Support the end-to-end roadmap for anti-distillation defenses, partnering with product managers and researchers to operationalize novel techniques that detect and mitigate model extraction attacks at scale. Strategize and Drive Programs: Scope and drive complex, ambitious programs that span multiple teams, managing simultaneous projects while balancing immediate delivery needs with long-term strategic success. Orchestrate Execution &amp; Visibility: Unite diverse teams for fast-paced execution while serving as the trusted owner of project status, proactively identifying dependencies, risks, and ensuring clear progress visibility across all stakeholders. Bridge Technical and Strategic Worlds: Rapidly grasp complex AI modeling concepts and translate them into actionable program strategies, ensuring alignment between research breakthroughs and production engineering realities. Build and Influence: Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders. Communicate Effectively: Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership. Navigate Ambiguity &amp; Drive Efficiency:&nbsp;Thrive in rapidly evolving research environments by adeptly adjusting plans as conditions change, while consistently driving process improvements and tooling efficiencies to streamline execution. Qualifications Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience leading large-scale, highly complex technical programs, preferably across multiple geographies and time zones. Strong foundational understanding of cybersecurity and privacy concepts, such as attack surfaces, threat modeling, rate limiting, and abuse detection. Excellent communication skills, with experience managing complex stakeholder relationships and translating technical concepts for executive leadership. Demonstrated technical acumen with the ability to quickly grasp and deeply understand new technical domains. Preferred Qualifications In-depth knowledge of AI/ML fundamentals (training, inference, fine-tuning) and specific familiarity with distillation prevention techniques (watermarking, adversarial defenses, API security). Track record of transitioning research prototypes into robust, globally scaled production defenses, ideally working directly with PhD-level researchers and engineering teams. Hands-on technical experience with large-scale data systems, and the ability to dive into data (e.g., SQL, Python) to independently validate research findings. Experience collaborating with cross-functional legal, policy, and trust &amp; safety teams to land complex security initiatives. Familiarity with industry standards relevant to AI and security (e.g., OWASP Top 10 for LLMs, ISO/IEC 42001). &nbsp; The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: November 24, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Senior Technical Program Manager, Security & Privacy

Snapshot We are seeking a highly motivated and innovative Software Engineer to join us in rapidly exploring and implementing the state-of-the-art Gemini models across core Google products. You will work directly with engineering, product, and research teams in Google DeepMind to quickly ideate, build, and iterate on proof-of-concept integrations that leverage cutting-edge AI capabilities. This role is about moving fast to validate new ideas, utilizing the latest advancements in multimodal large language models (vision, audio, text) to build functional, tangible prototypes. You will need to be a flexible, full-stack thinker, capable of jumping between different parts of the stack—from hacking together an agent harness for Gemini to quickly bringing up an end-to-end application demo for proving out product experiences. In this role, you will apply your broad engineering expertise to create the initial sparks that could eventually impact users globally. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. &nbsp; The Role As a Software Engineer at Google DeepMind, you will be at the forefront of translating research into tangible product concepts. You will drive the rapid development of experimental Gemini-powered features, pushing the boundaries of what's possible to create novel agentic services and “zero-to-one” engaging user experiences. Further, you will be collaborating with multiple product surfaces across Google to bring to life some of these experiences.&nbsp; &nbsp; About You You are a passionate and talented software engineer with a versatile, full-stack AI skillset and a proven ability to rapidly prototype and iterate on ideas. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious, undefined challenges. You are passionate about seeing AI research translated into real-world product concepts and are eager to work in an environment where speed of experimentation is key to long-term impact. You are a flexible thinker who can creatively solve problems up and down the stack to get compelling demos and experiences working in product form factor. Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field. A minimum of 5 years of relevant professional experience. Experience with core software engineering and building highly available, high-traffic production systems. Experience training, deploying and operating large machine learning models (LLMs or similar) in a high-scale, low-latency production environment. Solid understanding of distributed systems, cloud computing principles, and performance optimization. Proven track record in "zero-to-one" development—transforming raw ideas into rapid prototypes and full stack experience driving them through to full production. Strong programming skills in Python and C++. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, particularly for inference and serving.&nbsp; Excellent communication and collaboration skills. In addition, the following would be an advantage: Full-stack engineering experience, comfortable working with frontend frameworks (e.g., React, Flutter, or simple web UIs) to visualize ideas, as well as backend services to power them. Strong track record in delivering features that leverage cutting-edge AI (e.g., LLMs, multimodal models) to a large user base. Deep understanding of end to end system architecture and adapting to new technologies and modern design Significant prompt engineering experience, deep understanding of evaluation strategies and familiarity with of pretraining, post-training concepts Familiarity with multimodal data and processing pipelines (vision, audio, text).&nbsp; &nbsp; The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: November 20, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy &nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Software Engineer, AI Products

Snapshot Join the Workplace, Innovations &amp; Experience Team as a Logistics Manager accelerating Google DeepMind’s access to mission-critical assets. You will be the trusted expert, responsible for the end-to-end management of the global shipping pipeline, balancing the critical priorities of maximum velocity, international compliance, and operational efficiency. Your primary focus is translating GDM's ambitious procurement needs into seamless logistics execution. This role requires a proactive and hands-on professional who applies deep trade expertise and project management principles to mitigate risks, unblock bottlenecks, and drive continuous process improvements across the logistics lifecycle, ultimately ensuring GDM remains at the forefront of pioneering developments. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As the Logistics / Operations Manager, your primary role will be to ensure assets procured by the business are shipped with maximum velocity, and within internal / external legal and compliance frameworks. You will act as a partner between the Robotics team requiring shipping, and Google’s centralised Logistics, Legal, and Compliance teams. The core purpose of this role is to accelerate the shipping pipeline by proactively managing the end-to-end logistics process. This spans from understanding shipping requirements and producing accurate shipping documentation through to timely final delivery. You will apply project management principles to, at times, coordinate large, multi-shipment initiatives, which may cross various jurisdictions.&nbsp; Where pain points or bottlenecks are identified, you will work to unblock these, driving continuous improvement through change management. Your success will directly ensure the GDM business maintains its velocity and remains at the forefront of pioneering developments. A natural growth area for this role will be to oversee and manage inventory, as this will enable a clear pipeline for the logistics workload.&nbsp; Key responsibilities Drive the end-to-end logistics pipeline, ensuring maximum delivery velocity and adherence to internal Google policies and external customs / legal frameworks. Act as the primary liaison, fostering high-value partnerships between GDM and centralised Google partner teams to translate business needs into actionable logistics plans. Serve as the subject matter expert on shipping requirements, advising internal stakeholders on how geopolitical shifts and regulatory changes—such as new US tariffs—will impact supply chain strategy and costs. Working cross-functionally to ensure logistics feasibility is integrated into early-stage planning decisions. Apply project management principles to coordinate complex, multi-shipment programs and initiatives (e.g. worldwide shipping for conferences), ensuring alignment across cross-functional teams to meet mission-critical deadlines. Drive continuous improvement across the Robotics logistics lifecycle, identifying and executing process improvements to mitigate bottlenecks. Lead the dissemination of post-project learnings and operational metrics, providing stakeholders with the data visibility required to identify trends and optimize future logistics planning. About you You are a proactive, hands-on logistics professional who thrives on managing global shipping pipelines and ensuring mission-critical assets move with precision and speed. You excel in a highly cross-functional environment, acting as a bridge between ambitious internal teams and centralised partners. To set you up for success as the Logistics Manager, we look for the following skills and experience: Extensive experience in managing sizeable programs across a variety of operating environments, with the proven skill to navigate through ambiguity and adjust and adapt program strategies as conditions change Extensive experience partnering with senior stakeholders, adapting approach to stakeholder preferences and navigating conflicting priorities Strong communicator, able to develop meaningful relationships with key partners and use these to influence action and outcomes A solution-focused mindset, with the proven ability to identify pain points and drive sustainable process improvements that enhance operational efficiency Naturally curious and enjoy working across a large range of different subjects with ease, quickly gaining the knowledge you need to be effective Passionate about our mission, proactive about learning and acquiring knowledge to enhance your experience The following are also preferable: Experience in end-to-end logistics management, trade compliance, or a related supply chain role, preferably within a fast-paced technology or research environment Able to demonstrate proficiency in all core logistics aspects, including Incoterm negotiations and shipping documentation, while having a practical understanding of trade compliance frameworks (e.g. export/import licensing, ATA Carnets), and understanding the various roles of all parties within the logistics workflow (ie. customs brokers, security etc) Leverage a passion for AI and emerging technologies to identify innovative applications within the logistics lifecycle, piloting tools that drive automation, accuracy, and efficiency The US base salary range for this full-time position is between $130,000 - $191,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Logistics Manager, Robotics Support Operations

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; Snapshot The People &amp; Culture (P&amp;C) Experience &amp; Delivery Partner team provides responsive day to day P&amp;C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&amp;C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&amp;C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People &amp; Culture teams, including GDM P&amp;C Partners, to deliver a world-class employee experience.&nbsp; We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role. &nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. &nbsp; The Role This role is embedded in our People Operations team, which sits within the wider People and Culture (P&amp;C) team, and reports to a P&amp;C Experience &amp; Delivery Lead based in London, UK.&nbsp; Dynamic Coaching &amp; Advisory Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&amp;C topics including performance management, development, employee lifecycle processes, policy exceptions. Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict. Contribute to the development and delivery of scalable solutions to build Manager capability. Operational Excellence Execute and deliver P&amp;C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams. Partner with P&amp;C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&amp;C Strategy. Independently manage employee lifecycle processes e.g. Exits and Flexible working Identify the need for, and take responsibility for driving,&nbsp; process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues. Employee Experience Insights Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions. About You In order to set you up for success as a People Experience &amp; Delivery Partner at Google DeepMind,&nbsp; we look for the following skills and experience: Subject matter expertise: You have a solid understanding of HR principles, policies, and best practices in areas such as performance management, compensation planning and change management.&nbsp; Communication: You have strong written and verbal communication skills and are able to express thoughts and ideas clearly as you facilitate understanding. You comfortably demonstrate active listening and emotional intelligence. Interpersonal skills: You build strong relationships with employees and managers at all levels and are experienced in conflict resolution. Critical thinking &amp; problem-solving: You are proficient in data analysis and thematic reporting. You are able to analyse information, identify issues, and provide effective solutions. In addition, the following would be an advantage:&nbsp; Experience in working with global teams and navigating cultural differences. Experience in designing and delivering training programs, and process design. Experience in using data to drive HR decisions. Knowledge of HR trends and best practices. A degree or professional certification in Human Resources Management or a related field.

People Experience & Delivery Partner, 12 Month FTC, London

Snapshot The Gemini App team is leading the charge in leveraging advanced language models to build groundbreaking solutions. We are driven to deliver exceptional user experiences through cutting-edge AI technology. Our mission encompasses maintaining a dynamic and fast-paced development environment while continuously building new features that empower users.&nbsp; This role of a Technical Program Manager is to play a key role in defining the roadmap and execution strategy for collaborations across Google to enable new use cases within the GeminiApp. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an exciting opportunity to play a key role in shaping the future of the Gemini App.&nbsp; As a Technical Program Manager, you'll drive the strategy and execution of high-impact Gemini launches across web and mobile platforms. You'll be working with cutting-edge language models to deliver groundbreaking solutions to a massive user base.&nbsp; This role requires hands-on project leadership and collaborations across Google allowing you to build innovative features, and make a difference in how people interact with AI.&nbsp; You will work closely with Engineering, Product, UX and Marketing teams to pioneer new use cases while also driving efficiency across the team.&nbsp; &nbsp; Key responsibilities: Lead and drive progress on critical feature launches across the Gemini ecosystem. Identify and manage cross-functional dependencies across teams and organizations. Partner with engineering and product leads to shape product direction and ensure successful execution. Drive engineering teams to identify, prioritize, and track tasks towards completion. Proactively identify risks, develop mitigation plans, and implement solutions. Communicate progress, risks, and plans to leadership regularly. Identify and implement process improvements to enhance team efficiency. Manage multiple time-sensitive projects concurrently. Foster a collaborative and inclusive team culture that values innovation and excellence. Advocate for the team's needs and ensure they have the resources and support to succeed. About You To be successful as a Technical&nbsp; Program Manager at Google DeepMind, we look for the following skills and experience: Strong technical background with demonstrated expertise in software program management, machine learning or generative AI. Excellent program management and strategic planning skills to effectively drive projects forward. Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders In addition, the following would be an advantage: Master’s degree in Computer Science or a related field, or equivalent practical experience 5+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Friday Oct 17th, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Technical Program Manager, GeminiApp

Snapshot Technical Program Manager (TPM) on Google DeepMind's Gemini App team. This open role is for the personalization team, where we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a TPM for the Gemini App Personalization team, you'll lead the development of the next generation personal AI assistant on top of Google’s state-of-the-art Gemini models. Personalization is a top priority for the company, and we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live. We also plan to develop new personalization-related capabilities, including understanding and contextualizing relevant personal information, and using it appropriately in responses and tool invocations. The work encompasses a diverse set of tasks, including model post-training, evaluation, data retrieval and summarization, benchmark creation, data collection &amp; synthesis, model serving, and production deployment. We're looking for someone who is: Action-oriented and driven to work on a top Google priority. Excited by a startup mindset, fast-paced environment, and an entrepreneurial drive. Passionate about the intersection of applied machine learning, infrastructure, and language problems. Able to thrive in ambiguity and complex cross-team/cross-site collaborations. Ready to advance Google’s generative AI capabilities and be at the forefront of Large Language Models. Key responsibilities Spearhead critical Gemini feature launches, driving progress from conception to delivery. Forge close partnerships with PM and Engineering leads to define product strategy and ensure precise execution. Navigate and resolve complex dependencies across diverse workstreams, functions, and organizations. Guide engineering teams in identifying, prioritizing, and tracking tasks to meet key deadlines. Proactively identify and mitigate risks, implementing solutions to keep projects on velocity. Deliver clear, consistent updates on progress, risks, and plans to senior leadership. Excel at managing multiple, time-sensitive projects concurrently. About You In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience 10+ years of experience leading cross-functional programs Experience working with Machine Learning and Large Language Models and/or ML Ops Experience working in a fast moving team environment Demonstrated experience of working on large scale product development Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity Requirements:&nbsp; Bachelor’s degree in Computer Science or a related field, or equivalent practical experience 5+ years of experience leading cross-functional programs Experience working with Machine Learning and Large Language Models and/or ML Ops Experience working in a fast moving team environment Demonstrated experience of working on large scale product development Proven track record of collaborating with and influencing stakeholders across various functions with little authority and considerable ambiguity The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Friday Oct 17th, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Technical Program Manager GeminiApp Personalization

Our interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine. The Business and Corporate Development team is vital to achieving DeepMind's mission. We cultivate strategic partnerships to further research priorities and maximise impact. Our work involves developing and shaping research collaborations and partnering opportunities to support GDM Science efforts (and beyond) and model developments, like&nbsp;AlphaProteo&nbsp;or&nbsp;GNOME. This team leverages a deep understanding of Google DeepMind's research and strategies to identify partners and execute groundbreaking opportunities. This role will have a particular focus on supporting science related business development opportunities in-region, working closely with relevant Google DeepMind Science Research Leads, Project Managers, Researchers, Product Managers and others. Job responsibilities The Business and Corporate Development team at Google DeepMind work closely with GDM AI Researchers and Leadership to link research and business strategy to business development opportunities. By collaborating with cross-functional teams and other Google Partnerships/CorpDev teams, we identify, shape, negotiate, and manage strategic external partnerships to accelerate Google DeepMind's mission. &nbsp; Google DeepMind’s research depends on a wide range of internally-generated and externally-sourced data, as well as access to external domain experts and tools/facilities. To that end, this role will be critical in driving partnerships and collaborations to support these needs, including:. Develop a deep understanding of Google DeepMind’s Science research, product and business strategy and connect them to business opportunities. Serve as lynchpin between internal teams and external partners. Partner with team leads and internal stakeholders to proactively identify new opportunities, explore options to accelerate impact, assess risks and ethics and initiate or further engagement with Industry, Government and Academia. Work with other GDM and Google teams to identify external opportunities, key partners and emerging trends. Shape and negotiate agreements with external partners to carry out joint research and development, technology deployment, acquire assets, product partnerships, m&amp;a etc. Lead cross-functional teams on key transverse strategic initiatives, managing coordination with teams such as Research, Product, Legal, Operations, Finance, Strategy and Operations, Policy &amp; Program Management. Establish internal connections and serve as GDM PoC for key external partners in region Minimum qualifications: PhD in science, medicine, engineering or equivalent practical experience 5+ years of experience in business development, strategic negotiations and partnership management in a high growth deep science environment 5+ years of experience negotiating research and product partnerships in a Research &amp; Development setting (Academic or Corporate) and commercialising related technologies Experience structuring deals and handling technical, contractual and financial issues Preferred qualifications Experience working with machine learning applied to Science and Health Experience shaping quantitative business models in APAC Strong stakeholder management experience, comfortable working with researchers, engineers, government and industry partners Strong oral and and written communication skills

Business and Corporate Development Manager, Science Partnerships, Google DeepMind

Director, Applied ML for Robotics&nbsp; Location: Mountain View, CA About the Team: At Google DeepMind, our mission is to "solve intelligence" for the benefit of all. The Applied Robotics team is at the forefront of this effort, focusing on one of the most challenging and exciting frontiers in AI: grounding intelligence in the physical world. We work to bridge our most advanced research in large-scale foundation models with real-world robotic applications, aiming to create general-purpose robots that can learn to perform a wide variety of useful tasks safely and efficiently. About the Role: As an Applied Machine Learning Lead for Robotics, you will be a pivotal technical leader guiding the translation of cutting-edge AI into tangible, physical robotics applications. We are seeking a hands-on leader to steer a team of exceptional engineers in deploying our leading foundation models onto robotic platforms with our partners. Your work will involve solving complex problems at the intersection of large-scale model inference, real-time control, computer vision, physical interaction, and ecosystem development. This is an opportunity to define the technical strategy for some of the most ambitious embodied AI projects in the world. You will define the technical vision and multi-year strategy for deploying Google's foundation models onto physical robots. You will be responsible for pioneering a new class of general-purpose robotic capabilities, leading the entire lifecycle of translating research incubation to scaled, real-world application. Responsibilities: Lead the technical design, architecture, and implementation of robotic systems and embodied AI applications powered by large-scale foundation models. Partner closely with research scientists to adapt and apply the latest AI breakthroughs in areas like vision-language models, reinforcement learning, and generative modeling to robotics. Provide deep technical mentorship and guidance to a team of machine learning and robotics engineers, fostering a culture of rapid innovation and rigorous experimentation. You will help define the technical vision and multi-year strategy for deploying Google's foundation models onto physical robots. You will be responsible for pioneering a new class of general-purpose robotic capabilities, leading the entire lifecycle from research incubation to scaled, real-world application. You will drive the evolution of a dynamic ecosystem where hardware and software build upon each other, propelled by powerful collaborations and partnerships. Architect and build robust, scalable, and real-time ML pipelines that connect large-scale models to robotic sensors and actuators. Collaborate with hardware engineers, product managers, and other stakeholders across Google to deliver impactful and scalable robotic solutions. Minimum Qualifications: Graduate degree in Computer Science, Robotics, a related technical field, or equivalent practical experience. 15 years of professional software development experience, with at least 5 years in a technical leadership role overseeing machine learning or robotics projects. Hands-on experience building and deploying machine learning models in production environments. Proficiency in Python and deep knowledge of ML frameworks such as TensorFlow, PyTorch, or JAX. Preferred Qualifications: PhD in Robotics, Machine Learning, or a related field. Proven track record of leading the development and deployment of complex robotic systems or AI applications involving physical interaction. Deep expertise in one or more of the following robotics areas: deep learning, control theory, motion planning, perception, manipulation, or navigation. Demonstrated experience in developing and scaling software ecosystems to enable and support innovative hardware platforms. Experience applying large-scale models (e.g., foundation models, transformers, diffusion models) to robotics or problems involving real-world sensor data. Experience with simulation environments (e.g., Isaac Sim, MuJoCo, Drake) and sim-to-real transfer techniques. A strong publication record in top-tier robotics or machine learning conferences (e.g., CoRL, RSS, ICRA, NeurIPS, ICML). Excellent communication skills and a passion for mentoring and developing the careers of other engineers. Demonstrated experience building, scaling, and leading world-class machine learning or robotics engineering teams in a fast-paced, research-driven environment. The US base salary range for this full-time position is between $294,000 - $414,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Director, Applied ML for Robotics

Job Description Our interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine. In this role, you will help accelerate development and deployment of multimodal and multi-agent conversational AI systems. You’ll work with a global group of engineers and research scientists on a mission-driven team, with high agency in a fast-paced environment. Together, you will build and deploy cutting-edge medical AI systems for real-world healthcare with rigorous and careful evaluation, while respecting all aspects of domain-specific compliance. Job&nbsp;Responsibilities Design, develop and implement highly scalable, secure, and performant systems for AI in medicine and health or other high-compliance requirement safety-critical systems Use your agile and adaptable skill-set to work across timezones and deliver full-stack implementation, from front-end, back-end, to the agentic AI system Apply your software engineering expertise to produce high quality, clean, generalisable/reusable and scalable code and infrastructure Collaborate with researchers and engineers in the team to ensure system safety and reliability Be highly collaborative, striving to cultivate a culture of continuous development and advancement. Implement tools, libraries and frameworks, and build on existing systems, to accelerate and enable new research and deployments. Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems. Incorporate your passion for advancing human health and any previous knowledge or academic experience to join a team of hardworking individuals who openly collaborate with one another. Minimum qualifications Software Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both. In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience: A bachelor degree in computer science, electrical engineering or equivalent experience 5+ years of experience with software development using programing language such as C++ and Python 5+ years of experience in full stack web development using Angular and/or Typescript Preferred qualifications Experience with compliant enterprise product development and data management in production. Experience with multimodal LLM and multi-agent systems and evaluation Experience optimising large-scale training and fine-tuning large models. Experience developing and deploying an end-to-end LLM-powered system, and/or multi-agent and multimodal models including audio and video

Senior Software Engineer, Medical AI, Google DeepMind

Job Description &nbsp; Our interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine. &nbsp; In this role, you will accelerate development and deployment of multimodal and multi-agent conversational AI systems. You’ll work with a global group of engineers and research scientists on a mission-driven team, with high agency in a fast-paced environment. Together, you will build and deploy cutting-edge medical AI systems for real-world healthcare with rigorous and careful evaluation, while respecting all aspects of domain-specific compliance. &nbsp; Job Responsibilities Design, develop and implement highly scalable, secure, and performant systems for AI in medicine and health or other high-compliance requirement safety-critical systems Use your agile and adaptable skill-set to work across timezones and deliver full-stack implementation, from front-end, back-end, to the agentic AI system Apply your software engineering expertise to produce high quality, clean, generalisable/reusable and scalable code and infrastructure Collaborate with researchers and engineers in the team to ensure system safety and reliability Be highly collaborative, striving to cultivate a culture of continuous development and advancement. Implement tools, libraries and frameworks, and build on existing systems, to accelerate and enable new research and deployments. Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems. Incorporate your passion for advancing human health and any previous knowledge or academic experience to join a team of hardworking individuals who openly collaborate with one another. Minimum qualifications Software Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both. In order to set you up for success as a Staff Software Engineer at Google DeepMind, we look for the following skills and experience: A bachelor degree in computer science, electrical engineering or equivalent experience 7+ years of experience with software development using programing language such as C++ and Python 7+ years of experience in full stack web development using Angular and/or Typescript Preferred qualifications 2+ years experience developing and deploying an end-to-end LLM-powered system, and/or multi-agent and multimodal models including audio and video Experience optimising large-scale training and fine-tuning large models. Experience with compliant enterprise product development and data management in production Experience with multimodal LLM and multi-agent systems and evaluation

Staff Software Engineer, Medical AI, Google DeepMind

Snapshot Advance research in empowering humans in the era of LLM. We do this by enabling better control (make the model do what we want to do) and and better leveraging (make the model to teach us something new so we evolve). We consider the two problems as two sides of the same coin. We do ambitious short and long-term research, aiming at both internal impact and external publications.&nbsp; About Us We are a team in Google DeepMind, with a mission to build AI responsibly to benefit humanity. This role is for the GDM Seattle office where many of our team members are located. We are part of Foundational Research with eyes on practical applications as well as impactful publications. Our ultimate mission is to empower people rather than replacing them. Our team consists of PhDs expertise in interpretability, cognitive science, bayesian theory, NLP, and many others.&nbsp; The Role Research scientist role to advance research in understanding large language models by considering controllability as a dual problem. The RS will join the team’s project to push together as a team, rather than starting their independent singleton research.&nbsp; Key responsibilities: Work as a team Conduct research in understanding the model with practicality as a focus. Translate research findings into useful internal applications. Publish and present findings at internal and external venues to influence the field. About You In order to set you up for success as a Research Scientist at Google DeepMind,&nbsp; we look for the following skills and experience: PhD in machine learning, statistics or related fields&nbsp; Strong publication record Strong record in LLMs and foundation models and related engineering skills Strong communication skills In addition, the following would be an advantage:&nbsp; Strong end-to-end system building and prototyping skills The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp; &nbsp;

Research Scientist, Empowering Humans Using LLMs

Snapshot We are looking for an Operational Ethics &amp; Safety Manager to join our Responsible Development &amp; Innovation (ReDI) team at Google DeepMind.&nbsp; In this role, you will be responsible for partnering with research and product teams and across the broad Responsibility team to consider the potential downstream impacts of Google DeepMind’s research and its applications.&nbsp; You will work with technical, analytical and operational teams at Google DeepMind to ensure that our work is conducted in line with ethics and safety best practices, helping Google DeepMind to progress towards its mission. You will build on your technical knowledge of AI models and Science to review the safety performance of AI models and provide analysis and advice to various Google DeepMind stakeholders, including our Responsibility and Safety Council. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As an Operational Ethics &amp; Safety Manager within the ReDI team, you’ll use your expertise on the societal implications of technology,&nbsp; Science background and AI experience to deliver impactful assessment, advisory and review work through direct collaboration on groundbreaking research projects and to help develop the broader governance ecosystem at Google DeepMind. Key responsibilities As an Operational Ethics &amp; Safety Manager within the ReDI team, you’ll combine your technical knowledge of AI models and your Science background with your expertise on the societal implications of technology to deliver impactful assessment, advisory and review work through direct collaboration on groundbreaking research projects and to help develop the broader governance ecosystem at Google DeepMind. Leading ethics and safety reviews of projects, in close collaboration with project teams, to assess the downstream societal implications of Google DeepMind’s science focused technology.&nbsp;&nbsp; Closely collaborating with the Google and Google DeepMind responsibility communities, including the ReDI evaluations and model policy teams, to prepare for emerging AI capabilities and AGI and to review the safety performance of our AI models. Supporting the Responsibility and Safety Council, presenting projects and developing and communicating assessments to senior stakeholders on a frequent basis. Designing engagement models to tackle ethics and safety challenges, e.g. running workshops, engaging with external experts, to help teams consider the direct and indirect implications of their work. Identifying areas relevant to ethics and safety to advance research.&nbsp; Working with broader Google teams to monitor the outcomes of projects to understand their impact Developing and documenting best practices through working with internal Google DeepMind teams and experts, and where appropriate, external organisations, to develop best practices for Google DeepMind projects.&nbsp; About you In order to set you up for success as an Operational Ethics &amp; Safety Manager at Google DeepMind, we look for the following skills and experience:&nbsp; Experience navigating and assessing complex ethical and societal questions related to technology development, including balancing the benefits and risks of AI-based scientific research and applications. Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.&nbsp; Significant experience collaborating with technical stakeholders and highly interdisciplinary teams. A strong understanding of the challenges and issues in the field of AI ethics and safety, through proven AI and society experience (e.g. relevant governance, policy, legal or research work). The ability to distill complex technology and impact analysis, both in writing and orally.&nbsp; Strong executive stakeholder management skills, including the ability to communicate effectively in tight turnaround times. Proven ability to communicate complex concepts and ideas simply for a range of collaborators. Education background, to at least undergraduate level, in Physics, Chemistry, Biology, Materials Science, and/or a related field. In addition, the following would be an advantage:&nbsp; Experience working with AI governance processes within a public or private institution. Experience working within the fields of AI safety or AI ethics as it pertains to a scientific field. Relevant research experience.&nbsp; Product management expertise, legal analysis expertise or other similar experience. Application deadline: 6pm GMT Tuesday 28th October 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Operational Ethics & Safety Manager

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We are looking for Research Scientists to join the Robotics team whose mission is to build “Embodied AI” to power the next generation of helpful robots. Job Summary: We are looking for a Research Scientist to join our robotics team and push the boundaries of on-device model optimization. You will work on developing novel end-to-end models, improving their accuracy, efficiency, and robustness for deployment on physical devices like GPUs and robots. Responsibilities: Design, train, and evaluate deep learning models for various on-device applications. Develop novel algorithms for improving model performance and efficiency, including but not limited to: End-to-end model architectures. Optimization techniques for inference on constrained hardware. Techniques for domain adaptation and semi-supervised learning. Confidence estimation and uncertainty modeling. Work on related machine learning tasks such as model compression, quantization, and efficient resource utilization. Optimize models for on-device and streaming applications, specifically considering latency, computational constraints, and deployment on physical devices such as GPUs, embedded systems, and robots. Collaborate with other researchers and engineers to integrate your work into products. Minimum Qualifications: PhD in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, deep learning, or embedded systems, or equivalent practical experience. Experience with deep learning frameworks such as TensorFlow or PyTorch. Strong programming skills in Python or C++. Experience with large-scale data and distributed training. Experience with on-device machine learning and model optimization for various hardware platforms, including GPUs, TPUs, and embedded systems. Experience with real-time systems and deployment on physical devices. Preferred Qualifications: A strong publication record in top-tier machine learning or systems conferences (e.g., NeurIPS, ICML, MLSys, CVPR, ICCV). A passion for solving challenging research problems and a desire to make a real-world impact. The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist, Model Optimization

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We are looking for a scientist to become part of the PRISM team and join us in solving some of the hardest problems in AI. About Us The PRISM (Planning, Reasoning, Inference &amp; Structured models) team is an interdisciplinary team which pioneers fundamental advances at the edge of large-scale artificial intelligence systems, building toward a future of autonomous agents with advanced reasoning and problem-solving capabilities. We bridge the critical gap between groundbreaking research and real-world application. Our team is structured to do both: pursue high-risk, high-reward research into the core challenges of AI while simultaneously working as an integrated part of the core Gemini team to ship those innovations.&nbsp; We are currently focusing on developing advanced reasoning capabilities for Large Language Models, through both novel model improvements and innovative test-time techniques. As an integral part of the core Gemini team, we ensure our research and engineering work translates directly into shipped capabilities, making more powerful and useful intelligent systems widely available. Beyond immediate product impact, we also aim to tackle AI grand challenges, such as developing training algorithms that can learn continuously and at scale on very general forms of data, to develop systems that do not just solve problems but are able to identify what the relevant problems to solve are, that learn to explore complex spaces and learn how to interact with rich environments.&nbsp; Our team's impact is demonstrated through core contributions to major Google initiatives. Recent highlights include: Gemini &amp; Gemma: Developing core reasoning capabilities and pre-training architectures for Gemini 2.5 and spearheading the development of Gemma 3 270M. AI Grand Challenges: Making critical contributions that led to the gold medal-winning performance in the IMO 2025 effort. Product Innovation: Contributed to the model training of 'Deep Think' mode for Gemini, enabling more advanced problem-solving. Alphabet-Wide Collaboration: Driving key projects across Alphabet, including applications in AI for Science and enhancing cybersecurity through Project Big Sleep. The Role As a research scientist, you’ll be responsible for the following: Key responsibilities: Define unsolved problems in the development of AI systems, propose solutions to tackle these issues, ranging from model architecture, data generation process, training algorithm or paradigm, and inference-time techniques. Carry out a rigorous process of implementation of these ideas in large-scale codebases on massive-compute infrastructure. Conduct thorough scientific analysis to ascertain the value of the proposed methods. Collaborate with partners and carry the most promising methods into production. Drive innovation from concept to implementation: Stay at the forefront of the AI field, identifying and exploring novel research avenues, implementing cutting-edge techniques, and validating their effectiveness through comprehensive experimental analysis. Provide technical guidance and mentorship to other engineers and researchers.&nbsp; Take ownership of critical issues and drive collaborative efforts to ensure project success. About You In order to set you up for success as a Research Scientist at Google DeepMind, &nbsp;we look for the following skills and experience: Possesses a deep intellectual curiosity and a relentless drive to understand the intricacies of machine learning models and training systems. A true team player who prioritizes collective success. This person is flexible, collaborative, and willing to contribute wherever needed to achieve project goals, fostering a positive and supportive team environment. Embraces a hacker mindset, fearlessly diving into complex codebases and technical challenges. Capable of both rapid prototyping for experimentation and developing robust, production-ready code for long-term solutions. Programming experience in Python and machine learning libraries such as jax, tensorflow or pytorch. Experience implementing state of the art machine learning algorithms and understand how to analyze results using notebooks and libraries such as pandas. Great communication skills, able to explain ideas at the conceptual level. We are also interested in: A PhD degree in computer science, math or physics. Experience with serving and training Large Language Models. Knowledge of hardware acceleration of machine learning algorithms.&nbsp; Knowledge of distributed computing.&nbsp; Interest in reinforcement learning. &nbsp;

Research Scientist, Planning, Reasoning, Inference & Structured models (PRISM)

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Google DeepMind, Gemini Robotics Job Summary: The Gemini Robotics team is building the future of physical agents, creating AI-powered robots that can perceive, reason, and act in the physical world. As a Systems Integration Architect, you will play a crucial role in bringing our advanced AI models to life, integrating them with a variety of robotic platforms and building the systems that enable intelligent and autonomous behavior. You will be at the forefront of AI and robotics, working on cutting-edge problems and helping to create a new generation of helpful and safe robots. Responsibilities: Design and implement the software and systems architecture for integrating large-scale AI models (including vision-language-action models and reasoning models) with diverse robotic hardware. Develop and maintain the "agentic framework" that orchestrates the interaction between different AI models and the robot's sensors and actuators. Integrate external tools and APIs, such as web search and other information sources, to enhance the robot's capabilities. Collaborate with research scientists and software engineers to design, implement, and test new algorithms for robot learning, planning, and control. Work on the challenge of "learning across embodiments," developing systems that can transfer learned skills and behaviors between different types of robots. Design and implement safety-critical systems and protocols to ensure the responsible and safe operation of our robots in human-centric environments. Contribute to the development of benchmarks and evaluation methods for assessing the performance, safety, and reliability of our robotic systems. Minimum Qualifications: Bachelor's degree in Computer Science, Robotics, or a related field, or equivalent practical experience. Experience with systems integration, and integrating complex software components and hardware. Strong programming skills in Python and/or C++. Preferred Qualifications: Master's degree or PhD in Computer Science, Robotics, or a related field. Experience with machine learning and deep learning, particularly in the context of robotics (e.g., reinforcement learning, computer vision, natural language processing). Experience with cloud computing platforms Experience working with different types of robotic hardware (e.g., robot arms, humanoids). A passion for robotics and a desire to build intelligent systems that can positively impact the world. The US base salary range for this full-time position is between $197,000 - $349,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Systems Integration Architect, Gemini Robotics

Research Scientist, AI-powered scientific discovery Location: Montreal, Canada At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are looking for a Research Scientist to join our team in Montreal dedicated to AI for Scientific Discovery. Specifically, the team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries. Research includes, but is not limited to general purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large scale AI-powered empirical research.&nbsp;&nbsp; About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. In this role, responsibilities will include making key contributions into the latest research developed in Google DeepMind Scientific Discovery effort, such as: Key responsibilities Design, implement and evaluate models, agents and software prototypes of large foundational models. Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.&nbsp; Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Suggest and engage in team collaborations to meet ambitious research goals. Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate. Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About you You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the scientific discovery process of users. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI. PhD in Computer Science, Artificial Intelligence, or a related field. Strong publication record in top-tier machine learning conferences or journals. Solid understanding of deep learning, natural language processing, and/or reinforcement learning. Experience with Large Language Models, preferably in the context of code synthesis. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch. A real passion for AI!

Research Scientist, AI-powered Scientific Discovery

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are seeking a Technical Program Manager to drive product development and launches for key products, including Antigravity. You will be responsible for orchestrating complex launch processes, managing cross-functional dependencies, and ensuring successful adoption of cutting-edge tools and features across Google and externally. This role requires a blend of program management expertise, technical acumen, and strong communication skills to manage releases, coordinate with various teams, and support our growing user base. Key responsibilities: Antigravity Product Launches: Drive end-to-end launch processes for product launches, including working across cross-functional stakeholders to manage new features both across Google and externally, overseeing release management, and managing serving capacity to ensure smooth rollouts. Cross-Team Coordination: Lead collaborations with teams across Google to develop new features and integrate into our products. Build effective working relationships, guiding alignment on project goals, managing interdependencies, and ensuring clear communication and risk management. User Engagement and Community Building: Strategize and implement programs to increase product adoption across Google and externally, supporting and nurturing our users, crafting and disseminating broader communications, including user-facing documentation. Product Metrics &amp; Reporting: Drive creation of product dashboards to track key metrics and report on progress, understanding evolving user needs from both Google teams and externally for individuals/enterprises. About You In order to set you up for success as a Technical Program Manager at Google DeepMind, &nbsp;we look for the following skills and experience: Bachelor's degree in a technical field or equivalent practical experience. 5 years of experience in program or project management in a technical software environment. Experience managing product launches and working through the full software development lifecycle. Strong analytical skills and experience with data analysis. In addition, the following would be an advantage:&nbsp; 8+ years of relevant work experience in a technical environment. Experience launching internal and external-facing developer products at scale to individuals as well as businesses and enterprises and promoting adoption within a large organization. Strong understanding of release management processes and best practices. Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority. Excellent interpersonal and communication skills, with a demonstrated ability to work effectively across organizational boundaries engaging senior leadership. &nbsp; The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm PST Monday 22nd December 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Technical Program Manager, Antigravity

Snapshot The role of the Program Management Team is to organize and enable our research &amp; product teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role &nbsp; As a Technical Program Manager, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives. You will work with product managers, researchers, engineers, and stakeholders to define project scope, goals, timelines, and resource requirements. Program Leadership &amp; Strategy: Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics. Large-Scale Execution: Drive the end-to-end execution of large-scale initiatives, including deployment planning &amp; coordination, infrastructure readiness, safety testing, and model evaluation processes. Cross-Functional Integration: Act as a key liaison between the Generative Media team and other critical Google DeepMind projects, including teams working on Gemini, AI Platform, Trust &amp; Safety, Marketing &amp; Communications, Legal and more. Ensure seamless integration and alignment. Risk &amp; Dependency Management: Proactively identify, assess, and mitigate risks and dependencies associated with large-scale model deployment and launches.&nbsp; Process Improvement &amp; Scalability: Develop and implement efficient processes and systems to manage deployment and launches at scale. Identify opportunities for automation and tooling to improve research and engineering velocity. Stakeholder Management: Build strong relationships and provide clear, consistent communication to stakeholders across research, engineering, and leadership. Technical Due Diligence:&nbsp;Perform technical due diligence to understand engineering scope, define milestones, and anticipate resource needs for ambitious research projects Team Support: Provide proactive support to the team, and act as a mentor and point of escalation. Support rapid team and project growth and build processes to handle increasing numbers of contributors and project sub areas. About You In order to set you up for success as a Technical Program Manager at Google DeepMind,&nbsp; we look for the following skills and experience: You are passionate about the intersection of AI and Creative Media Technologies, and proactive about learning and acquiring knowledge to enhance your domain knowledge.&nbsp; You thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision. Knowledge and expertise in project/program management with the skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change.&nbsp;&nbsp;&nbsp;&nbsp; Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business stakeholders. You're a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions.&nbsp; Possess knowledge and familiarity with technical concepts such as information theory, mathematics, technical architectures, statistics, computer science, machine learning or reinforcement learning. In addition, the following would be an advantage: BS degree in Computer Science, Engineering, Media Tech or related technical field. 6+ years of experience in program management. Knowledge of Software Development Lifecycles Experience with end-to-end delivery while partnering closely with Research team Product Management experience (direct or partnering closely). Industry experience in creative media or media technology. The US base salary range for this&nbsp; position is between 156,000 USD - 229,000 USD. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 30th Nov 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Technical Program Manager, Generative Video, US

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role The mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google’s product ecosystem. As a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products. Key responsibilities: Orchestrate the Innovation Flywheel: Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the unified Gemini recipe. Lead complex engineering workstreams focused on core agentic capabilities. Drive the development and adoption of eval benchmarks to ensure model improvements are rigorously validated on benchmarks like SWE-bench and GDPVal. Cross-Functional Integration: Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a "multi-way win" where a single agentic advancement (e.g., skill writing) unlocks value across multiple Google surfaces. About You In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: 8+ years of experience leading complex, organizational-level technical programs in a software development or R&amp;D environment. Deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development. Proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes. Exceptional stakeholder management skills with the ability to build consensus across a matrixed enterprise. Thrive in fast pace, high velocity environnment, quick to pivot and adapt to new directions Strong communicator, data driven and precise.&nbsp; &nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Technical Program Manager, Agents Innovation - 12 Month FTC

Join the forefront of AI Innovation as an Administrative Business Partner with GeminiApp! Who are we? We're the GeminiApp team at Google DeepMind, on a mission to build the most helpful and personal AI assistant, giving everyone direct access to Google’s latest and most capable AI models. We are at an exciting inflection point, transforming how people collaborate with generative AI to enhance their productivity, spark creativity, and satisfy their curiosity. Our work is built on pioneering advances in multimodal LLMs, and we thrive on rapid iteration, constantly learning and evolving as we develop groundbreaking features. We're committed to responsible innovation, guided by our AI Principles, ensuring we make information and computing more accessible and useful. If you're energized by shaping a technology that's still in its early, dynamic days and are passionate about making a tangible impact on how people interact with AI, you're in the right place! This Administrative Business Partner role will provide dedicated support for up to three leaders. This position is based in Mountain View (MTV) with a hybrid model of 3 days in-office per week. What you'll get to do (Job Responsibilities): This isn't just about support; it's about strategic partnership and impact. You'll be at the heart of a team working at lightning speed to make Gemini the most helpful and personal AI assistant. Your contributions will include: Providing proactive, strategic administrative partnership to your Directors, masterfully managing complex calendars, global travel, and expenses. Collaborating closely with your executives and their teams, ensuring strategic projects launch successfully by anticipating roadblocks, driving timelines, and facilitating communication. Spearheading the creation and execution of impactful internal and external meetings, offsites, and events that drive project milestones, foster team cohesion, and align with strategic objectives. Tackling complex challenges and ambiguous situations with initiative, creativity, and minimal guidance, delivering innovative and effective solutions. Serving as a trusted thought partner to your executives, anticipating needs, providing insightful recommendations, and proactively optimizing team operations and workflows. Championing operational excellence by identifying opportunities for improvement and developing/implementing scalable processes to enhance team efficiency and effectiveness. Who we're looking for (The Ideal Candidate): You're a highly motivated, exceptionally organized, and proactively forward-thinking individual who shines with autonomy and thrives as a collaborative leader. You bring impeccable judgment and discretion to your work, coupled with advanced critical thinking and a knack for sophisticated problem-solving. You navigate complex situations with composure, tact, and grace, and flourish in a dynamic environment where candid communication and constructive feedback are valued. Your positive and engaging approach helps energize the team and contributes to a collaborative spirit. What makes this role uniquely exciting at Google: Working as an Administrative Business Partner on the GeminiApp team offers a distinct opportunity to operate at the epicenter of AI development at Google. You'll partner with brilliant minds and directly influence the trajectory of GeminiApp. Here, you’ll be encouraged to think beyond the immediate task, proactively finding creative solutions and taking ownership to make things happen. We're a highly collaborative team that moves quickly and adapts fluidly, much like a start-up. You won't just support our culture; you'll actively help build and energize it – fostering an environment of innovation, shared responsibility, and continuous growth. Key to your success here: Your ability to be incredibly flexible, adaptable, and proactive will be paramount. A rapid learning curve, an enthusiastic embrace of new challenges, and the drive to find solutions independently in a dynamic setting are what will make you soar as a GeminiApp Executive Business Partner. Minimum qualifications: BA/BS degree or equivalent practical experience. 3+ years of administrative experience in a high-tech or international environment, excelling at core tasks (e.g., travel management, expense reports, calendar management, facilities coordination). 3 years of direct executive support experience, supporting VP or Director-level executives, or highly transferable experience. Preferred qualifications that will make you stand out: Proven track record of providing administrative experience supporting senior executives in a dynamic, fast-paced corporate or start-up setting. Demonstrated success in leading and managing mid-size projects and events from concept to flawless execution. Experience supporting leaders with intricate global organizations, adeptly navigating diverse cultures and time zones. Prior ABP (Administrative Business Partner) experience at Google. A natural ability to quickly master new tools and technologies, with a passion for leveraging them to boost efficiency and productivity. Deep understanding and practical application of project, program, and process management principles to solve operational challenges. Impeccable discretion and confidentiality on all business matters. Exceptional ability to communicate, collaborate effectively, and build strong relationships with a diverse range of people, job functions, and leadership levels. Demonstrated ability to thrive in ambiguous situations, manage competing priorities, and adapt swiftly to changing circumstances with composure and good judgment. A strong desire for continuous learning, a willingness to step beyond your comfort zone, and the initiative to take on new challenges. Outstanding written and verbal communication skills – clear, concise, engaging, and professional. A track record of thriving in ambiguous, complex, and rapidly evolving work environments. A genuine passion for technology, user experience, AI, and the future we're building at Google. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our&nbsp;Applicant and Candidate Privacy Policy. The US base salary range for this full-time position is between $77,000 - $110,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Administrative Business Partner, GeminiApp

&nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We’re looking for a Research Engineer with exceptional programming and engineering skills, a deep understanding of large-scale neural network training and data processing, and a strong working knowledge of machine learning experimentation. The ideal candidate will have hands-on experience with training and developing multimodal models. Key responsibilities: Develop, maintain, and improve large-scale multimodal models, with a focus on video modeling, and the data pipelines for training and evaluation. Design and implement novel methods for evaluating and improving multi-modal generative models, particularly at the post-training stage. Build and maintain robust data pipelines for collecting and processing large-scale datasets, including human-labeled data. Collaborate with research scientists to translate research ideas into production-ready code. About You In order to set you up for success as a Research Engineer at Google DeepMind,&nbsp; we look for the following skills and experience: BSc, MSc or PhD/DPhil degree in computer science, physics, mathematics, applied statistics, machine learning, or equivalent practical experience. Strong background in deep learning, with proven experience with relevant architectures (e.g., Transformers, GNNs, etc). Experience with training large-scale machine learning models, particularly in the multimodal domain (video, text). Excellent software engineering skills with a proven ability to build robust and scalable systems. Proficiency with ML and scientific libraries such as JAX, TensorFlow, PyTorch, NumPy, and Pandas. Experience with either large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure. In addition, the following would be an advantage:&nbsp; Experience with LLMs, VLMs, and/or diffusion models training and inference. Experience with Computer Vision tasks (video classification, object tracking, depth estimation etc.) Experience working in a team on projects from the initial proof-of-concept stage to final implementation and evaluation.

Research Engineer, Multimodal and Video Modeling

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We’re looking for a Research Engineer with exceptional engineering skills and understanding of large-scale neural network training and data processing, as well as a strong working knowledge of machine learning experimentation. Key responsibilities: Develop, maintain, and improve large scale multimodal models and data pipelines (used for training and evaluation of models). Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models, particularly at the post-training stage. Develop and maintain pipelines to collect human data. About You In order to set you up for success as a Research Engineer at Google DeepMind, &nbsp;we look for the following skills and experience: Proven experience of building codebases that support machine learning at scale. You are familiar with ML / scientific libraries (e.g. JAX, TensorFlow, PyTorch, Numpy, Pandas), distributed computation, and large scale system design. Knowledge of machine learning and statistics. In addition, the following would be an advantage:&nbsp; MSc or PhD/DPhil degree in computer science, physics, mathematics, applied stats, machine learning, or similar experience working in industry. Experience with LLMs, VLMs, and/or diffusion models training and inference. Experience working in industry on team projects from early (proof-of-concept) to late stages (implementation and evaluation). &nbsp; &nbsp;

Research Engineer, Language

&nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, product and machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. &nbsp; Snapshot We’re looking for a talented Events Manager to join our Events and Experiences team supporting the GenAI Unit, at an exciting time in our history. This is a rare opportunity to plan and deliver internal events that help drive connection, collaboration and knowledge sharing across multiple locations, time zones and disciplines. Our internal events play a key role in helping to shape and amplify Google DeepMind’s culture , enabling collaboration and celebrating key moments for the organisation at an important stage of our journey.&nbsp; &nbsp; The Role This is a 12 month fixed term contract role in the Google DeepMind Events and Experiences team reporting to the Global Event Programs Lead..&nbsp; You will&nbsp; be embedded in the GenAI Unit and will focus on events and experiences for this groundbreaking team whose mission is to accelerate intelligent experiences across Google’s platforms and products.&nbsp; You will partner with teams across Google DeepMind and Google to deliver a variety of events across the globe&nbsp; including Town Halls, Summits, hackathons, offsites and celebrations to drive collaboration, knowledge sharing and connection at scale.. There may also be some external facing and/or wider Google events where you will support GenAI’s presence. Key responsibilities: Event Management &amp; Logistics Partner closely with the GenAI Senior Events Manager to develop program plans and event proposals aligned with the unit’s mission and priorities. Respond quickly to briefs from stakeholders to create event experiences in support of specific objectives, often within a short lead time. Plan and deliver some assigned events end to end and on larger more complex events be responsible for the planning and execution of specific workstreams or tasks. Oversee onsite execution of events involving some domestic and international travel. Project &amp; Budget Management Create detailed project plans and timelines, tracking milestones, deliverables and flagging and mitigating risks Build&nbsp; budgets for assigned events, tracking spend and processing contracts and purchase orders Partnership Consult and partner with teams within the GenAI unit and across Google DeepMind (Events &amp; Experiences, Enterprise Engineering, Workplace, Comms, Marketing etc) coordinating cross functional working groups&nbsp; to deliver seamless experiences that meet the agreed objectives. Brief and collaborate with external agencies and internal Google vendor partners on venue, technical production and logistics requirements. Data Management Track and analyze agreed event metrics to assess success and to inform future event program planning Compliance &amp; Safety Ensure all events are compliant with Google's health and safety, regulatory, and other governance policies, providing a secure and welcoming environment for all. &nbsp; About You You are a motivated, curious and approachable individual with solid events experience, who wants to work for a fast-paced innovative organisation with events playing an integral part to its success. You are a versatile events expert, combining a strong foundation in project management with a comprehensive understanding of event production. You're driven by a keen interest in enhancing employee engagement and creating impactful cultural programs In order to set you up for success as an Events Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Comfortable navigating change and ambiguity in a very fast paced environment. A portfolio that demonstrates a breadth of events of varying scope, scale and audiences.&nbsp; Exceptional project management skills and proven experience in supporting projects end to end. A natural problem solver. Curious and always open to new ideas and learning opportunities. Creative and innovative. Ability to simultaneously manage multiple tasks and events and&nbsp; meet deadlines. Budget management skills. The ability to work independently as well as part of a team with a collaborative and inclusive approach. Excellent relationship building skills Interest or experience in science and innovative technology, including in the field of artificial intelligence research or deployment of machine learning systems. Willing to work from the Mountain View office 3 days a week managing events both onsite at our Google and Google DeepMind offices, which will require some national and international travel. &nbsp; &nbsp;

Events Manager- GenAI 12 Month Fixed Term Contract

Snapshot Are you a passionate full-stack Software Engineer eager to make a direct impact by building the internal tools that power Google DeepMind? Join our team! You will design, develop, and refine essential software solutions that enable research portfolio management, streamline processes, and boost productivity for teams across the organisation, from supporting AI research endeavours, through applying AI in products, to optimising core operations. This is a fantastic opportunity to apply your engineering expertise to enhance how Google DeepMind operates effectively. No machine learning experience is required for this role. About us Google DeepMind: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Org Tech: As a central engineering and solutions team, the team designs, develops, and manages critical technology platforms that enable research portfolio management, and enhance productivity and effectiveness within the organisation. Our scope includes building an in-house portfolio management tool, enabling Google DeepMind's publication process, creating internal tools for people processes, providing essential data engineering support, developing AI-driven tools for enhanced internal efficiency, and facilitating large-scale Compute resource management via tooling. Our team is part of the GDM Technical Operations &amp; Analytics team. Tech Ops &amp; Analytics combines engineering skills with portfolio management, compute planning, and data analytics to organise, evaluate, and accelerate the delivery of GDM’s mission. We are a core group of ~50 people with diverse skills and backgrounds, working with many teams and leaders across the company to create and nurture an environment suited for state-of-the-art research and innovative product development. We prioritise projects with broad &amp; strategic impact across Google DeepMind, while also providing focused capabilities to accelerate key efforts. The role We are seeking a seasoned Software Engineer for our Org Tech team. You excel at designing, building, and maintaining robust, scalable systems, bringing strong experience in full-stack engineering. As a member of Org Tech, you’ll work alongside experienced engineers on tools that materially impact the workflows of your colleagues across Google DeepMind. Your users are internal, providing a unique opportunity for close collaboration, immediate feedback, and rapid iteration. This role directly impacts how the organisation functions, collaborates, and innovates. You thrive on tackling complex technical challenges and translating diverse internal needs into effective and efficient software solutions. You will act as a key technical contributor, proactively identifying opportunities to leverage technology for improvement and partnering with stakeholders to deliver high-quality solutions. Key ResponsibilitiesEnd-to-End Solution Delivery: Partner with diverse internal stakeholders (across research, engineering, operations, etc.) to design, develop, deploy, and maintain robust, scalable full-stack software solutions and internal tools, ensuring high quality and reliability.Operational Excellence &amp; Enhancement: Ensure the optimal performance, reliability, and health of owned systems via effective monitoring, troubleshooting, and maintenance. Proactively identify and implement improvements through system optimisation, feature enhancements, and process automation.Cross-functional Collaboration &amp; Partnership: Work effectively and collaboratively with engineers, product/project managers, designers, and other stakeholders across different teams to gather requirements, align on solutions, manage dependencies, and ensure successful project delivery.Technical Versatility &amp; Full-Stack Contribution: Demonstrate flexibility by contributing across the full technology stack (frontend, backend, infrastructure, integrations) as needed, adapting technical skills to meet evolving team priorities and project requirements.Engineering Best Practices: Champion high engineering standards (code quality, testing, documentation, security). Contribute to the team's technical strategy discussions and actively participate in code reviews and knowledge sharing. About you In order to set you up for success as a Software Engineer in Org Tech, we look for the following skills and experience:&nbsp; Full-stack experience with developing web applications. SWE interpersonal skills (discuss technical ideas effectively with colleagues, e.g. through whiteboard, design docs, presentations; interact directly with our end users on various channels) Solid understanding of algorithm design. Interest in working on both large and small software systems, depending on the evolving needs of the business. In addition, the following could be an advantage: Interest in web application development &amp; user experience design. Experience with TypeScript, Angular, and Java. Experience with relational databases and API design. Experience with production deployment &amp; monitoring systems. A deep interest in AI and how it can make a difference in the world. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Software Engineer, Org Tech

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts, program managers, product managers and more, working together to advance the state-of-the-art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About the role: We are looking for a Technical Strategy and Operations lead for the AI Platform (AIP) team. To succeed in this role, one must be capable of independently diving into technical projects while also skillfully handling day-to-day operations, thereby enabling AIP to accomplish its mission. This is a senior individual contributor role, where projects will include a range of different problems to solve and projects to work on. Responsibilities: Driving the cadence of the business including key communications and reporting, across all levels of the organization i.e. reporting, OKRs, quarterly and annual planning, team comms and decision-making. Oversight of our overall annual spend and working on efforts to drive efficiency, as well as ensuring our spend is going to highest priority capability areas to continue to advance our model, partnering directly varying teams.&nbsp; Work on special projects as needed. Partnering with the cross functionally and with leadership to develop and evolve strategy and goals in a coordinated way.&nbsp; Influence cross-functional partners and stakeholders without direct authority, leveraging strong relationships and a proven track record of thoughtful execution to drive alignment and collaboration across teams. Enable decision making across executive and senior leadership and all levels of the org, foreseeing the pushback, challenges and providing data and tradeoffs for your stakeholders. Lead and own critical strategic projects, taking primary responsibility for driving problem definition, and guiding the overall project direction from inception to completion. Operate with a high degree of independence, skillfully managing your own time and priorities to deliver outcomes for clearly scoped work within complex, fast-paced environments. Act as a proactive thought partner within the team, identifying core issues, contributing to solution development, and providing guidance to peers navigating strategic and operational challenges. Actively contribute to enhancing team culture and operational best practices, helping to make Google a better place to work through community contributions and continuous improvement. &nbsp; Minimum Qualifications: Bachelor’s degree&nbsp; or equivalent practical experience, leading strategic and operational initiatives for a large organization. 15 years of professional experience including 10 years in a similar role and/or in Management Consulting, Product Management, Engineering, or Operations of a product development team.&nbsp; Preferred Qualifications: ML experience 15+ years of strong project management experience, problem solving and analytical skills, combined with strong business judgment and communication skills.&nbsp; Demonstrated track record of cross-functional senior stakeholder management and leadership through influence. Ability to influence without authority, working on and with technical and cross-functional or highly matrixed teams who do not report into this role to get things done. Demonstrated ability to work in a highly collaborative environment with heavy emphasis on teamwork. Exceptional communication skills with the ability to represent complex business or technical concepts with senior leadership. &nbsp; The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm PST Friday 23rd October 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp; &nbsp;

Technical Strategy & Operations Lead

Snapshot We’re looking for a talented Events Manager to join our London based events team at an exciting time in our history.&nbsp;&nbsp; This is a rare opportunity to plan and deliver events that help drive connection, collaboration and knowledge sharing across multiple locations, time zones and disciplines to both internal and external audiences.&nbsp; Our events play a key role in supporting Google DeepMind’s mission and priorities by bringing together our internal teams to share and collaborate as well as educating and sharing knowledge with key external audiences. About Us &nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is a 12 month fixed term contract opportunity to join our Event Programs team.&nbsp; As a Google DeepMind Events Manager, you will be a part of the Global Events and Experiences team, collaborating closely with teams across Google DeepMind, bringing our work to life for both internal and external audiences.&nbsp; These events may include conferences, town halls, hackathons, team offsites, social events, policy and developer events and will take place both on campus and at external venues. Key responsibilities: Lead the end-to-end design of bespoke, world-class experiences. Move beyond the "standard" to pioneer unique, innovation-led environments that authentically reflect and amplify the cutting-edge mission of Google DeepMind. Continuously evolve our internal and external event programs. You will identify opportunities to disrupt traditional formats, utilising creative technology and experiential design to create inspiring moments of connection. Partner with cross-functional teams (Workplace, Comms, Marketing, Finance) to translate complex objectives into seamless, narrative-driven experiences.&nbsp; Thrive in a fast-paced environment and respond nimbly to stakeholder briefs, often with short lead times. Act as a trusted advisor and creative thought partner to senior stakeholders and leadership. Project manage a portfolio of complex, high-stakes activations simultaneously. You will create the detailed project plans whilst managing timelines, workstreams and&nbsp; risk assessments. Manage the full lifecycle of event production, from rigorous budget management and contract negotiation to collaborating with a roster of top-tier external agencies and vendors. Ensure all activities are compliant with Google's health, safety, and governance policies Undertake some international travel as needed. About You You are&nbsp; a motivated, curious and approachable individual with solid events experience, who wants to work for a fast-paced and ambitious company with events playing an integral part to its success. You should be a strong all-round events professional with a good understanding of all aspects of event management, catering to both internal and external audiences. In order to set you up for success as an Events Manager at Google DeepMind,&nbsp; we look for the following skills and experience: A deep, genuine passion for the frontier of technology and AI. The ability to translate concepts into immersive event narratives that captivate audiences. An enthusiasm for the new, always looking for emerging trends in experiential design, eager to pilot cutting-edge formats that surprise and delight. A portfolio that demonstrates a breadth of events of varying scope, scale, complexity and audiences.&nbsp; Exceptional project management skills, able to simultaneously manage multiple events with tight deadlines. A proactive problem solver. Naturally curious with a passion for learning about science and artificial intelligence and adopting the latest technology. Deep knowledge of the events industry and current and future trends. Track record of hiring and managing agencies and other partners. Budget management skills. Comfortable navigating change and ambiguity and working independently.&nbsp; Collaborative and inclusive approach. Flexibility to travel as needed.&nbsp; Experience in the technology sector, including in the field of artificial intelligence. Minimum of 8 years events experience Application deadline: 20th Feb 2026 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Events Manager - London - FTC - 12 Months

Snapshot Google DeepMind is dedicated to driving fundamental research breakthroughs across key areas of Artificial Intelligence. As a Research Scientist, you will contribute to discovery by exploring novel algorithms, developing new theories, and pushing the frontiers of AI. We foster a highly collaborative, supportive, and dedicated environment where ambitious scientific exploration thrives. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Our team works on developing state-of-the-art methods for Gemini, with a particular focus on multilinguality, cross lingual transfer and speech/machine translation.&nbsp; At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year! Research Scientists lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI. Drawing on expertise from a variety of disciplines including deep learning, natural language processing, language modeling, and advanced generative architectures, our Research Scientists are at the forefront of groundbreaking research. Key responsibilities: Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multilingual generative AI, with a particular emphasis on cross lingual transfer as well as text and speech translation. Report and present research findings and developments clearly and efficiently internally, verbally and in writing. Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions. Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About You In order to set you up for success as a Research Scientist at Google DeepMind,&nbsp; we look for the following skills and experience: PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or equivalent practical experience. Relevant experience in deep learning research and development, particularly in generative AI and related to multilinguality and mixture-of-experts. Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems. In addition, the following would be an advantage:&nbsp; Strong interest in multilingual LLMs. Demonstrated experience in large-scale training of multilingual and multimodal generative models. A track record of research or engineering achievements, including publications in peer-reviewed conferences or journals. Experience with large-scale model training and distributed computing environments. Experience working effectively in a collaborative research environment (industry or academic lab). Experience initiating, leading, or significantly contributing to ambitious research projects. The US base salary range for this full-time position is between $141,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist, Gemini i18n

Snapshot Members of the Sound Team are a group of researchers working on audio understanding, editing, and generation. We are part of Frontier AI, the unit responsible for building and scaling the next generation of our core models. Research includes, but is not limited to, sound understanding, joint audio-video generation, audio-visual editing, and long-context modeling. Work with us to create a future where speech, music, and general audio are central to AI understanding, generation, and modification. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architectures towards the end goal of solving and building Artificial General Intelligence. We seek individuals who are passionate about audio and developing novel architectures to push the state of art. In this role, you will make key contributions advancing research in sound understanding, joint audio-video generation, and audio editing. Key responsibilities: Data: Unlocking new audio capabilities within the model, both in pre-training and post-training. Models: Improving quality of models for understanding and generation. This includes research to improve our tokenizers, better techniques for generation quality, and looking at joint audio and visual representations.&nbsp; Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: Minimum Qualifications PhD in Computer Science, or a related Machine Learning field. Audio understanding and/or generation experience. A proven track record of research and publications in some of the following areas: audio generation, video generation, LLMs. In addition, the following would be an advantage:&nbsp; Preferred Qualifications Experience working with LLMs. A real passion for Audio and Sound! &nbsp; The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist, Sound Team

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Leveraging our best-in-industry auto-red teaming capabilities, our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world. Doing so will make Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We have already delivered a substantial improvement in prompt injection resilience in Gemini 3.0, and are continuing to partner closely with other GDM teams to bring security and privacy into all aspects of Gemini post-training. The Role As a Technical Lead and Manager for Contextual Security in the GDM Security &amp; Privacy Research team, you will be responsible for: Lead the existing team to address key challenges in contextual security with connections to prompt injection, from leading the fundamental research to providing out the solutions for key products.&nbsp; Manage a team of researchers with extensive background in security and machine learning, as well as grow the team to keep up with the rapid evolving space of contextual security problems Identifying unsolved, impactful privacy &amp; security problems present in generative models through auto-red teaming, with priorities guided by securing critical products and product features&nbsp;&nbsp; Building post-training data and tools hypothesised to improve model capabilities in the problem areas, testing the hypotheses through evaluations and auto-red teaming, and contributing successful solutions into Gemini and other models. Amplifying the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education. About You In order to set you up for success as a Research Scientist at Google DeepMind, &nbsp;we look for the following skills and experience: PhD in Computer Science or related quantitative field OR 5+ years of relevant experience. Demonstrated experience driving complex research projects in AI security, security, privacy or safety&nbsp; Experience managing teams of ~5-10 individual contributors In addition, the following would be an advantage:&nbsp; Demonstrated experience driving complex projects to landing in production or adoption in open source Demonstrated experience in adapting research outputs into impactful model improvements, in a rapidly shifting landscape and with a strong sense of ownership. Research experience and publications in ML security, privacy, safety, or alignment. Experience working on contextual security or prompt injection. The US base salary range for this full-time position is between $248,000 USD - 349,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist Tech Lead, Contextual Security

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Model distillation is a key innovation enabling the acceleration of AI, turning large general models into small and specialized models used across the industry. However, distillation techniques can also be used to steal critical model capabilities, representing a significant threat to the intellectual property and integrity of our foundational models. The Role As the Tech Lead Manager for Model Threat Mitigation, you will lead the workstream dedicated to protecting Google DeepMind’s most valuable AI assets. You will grow and manage the current team of Research Scientists, Research Engineers, and Software Engineers responsible for both detecting unauthorized distillation and mitigating these threats. This is a unique opportunity to define the comprehensive defense strategy for our models. You will oversee the full lifecycle of defense from researching novel detection systems and identifying capability theft, to deploying core mitigations and contributing to the model training. Key Responsibilities Lead and Manage the Team: Build, manage, and mentor a diverse team of researchers and engineers. Foster a culture of technical excellence and creative problem-solving in a high-stakes, adversarial environment. Define Technical Strategy: Set the research and engineering roadmap for the Distillation Defense workstream, communicating this to stakeholders and your team. Drive Impact &amp; Policy: Lead the effort to set protective policies for Core Model Capabilities. Work with leadership to define acceptable risk levels and trade-offs between model defensibility and performance. Cross-Functional Collaboration: Partner closely with Product, Legal, and other key teams across GDM and Google to ensure defenses are integrated into the Gemini ecosystem and to influence the broader standard for responsible AI defense. About YouWe are looking for an experienced technical leader who is passionate about securing the future of AI. You thrive on ambiguity and are capable of translating complex research questions into concrete engineering roadmaps. You are an expert in thinking like the adversary and are driven to build robust, resilient systems. You have a proven track record of leading teams to land research impact or ship production systems in a multi-team environment. Minimum qualifications: Ph.D. in Computer Science or a related quantitative field, or a B.S./M.S. in a similar field with 5+ years of relevant industry experience. 2+ years of experience in technical leadership or people management, managing research scientists or software engineers. Demonstrated research or product expertise in a field related to adversarial ML, model security, model evaluation, pre-training, post-training, or distillation. Experience designing and implementing large-scale ML systems and/or counter-abuse infrastructure. Preferred qualifications: Deep technical expertise in one or more of the following: model distillation, model stealing, Reinforcement Learning, Supervised Fine-Tuning, embeddings analysis, or security. Experience managing research teams with a focus on publication or applying novel research to production environments. Experience interacting with leadership and cross-functional partners (e.g. Legal, Product). Strong software engineering skills and experience with ML frameworks like JAX, PyTorch, or TensorFlow. Current or prior US security clearance. The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Scientist, Tech Lead Manager, Model Threat Mitigation

Snapshot We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions. About Us Our team works on improving Gemini on tasks where users interact with the model to complete information journeys;&nbsp; this includes improving helpfulness and factuality of Gemini models.&nbsp; To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode.&nbsp; Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI. The Role In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space. Key responsibilities: Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini Research on novel evaluation methods for improving model quality, grounding and factuality Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios About You I am a director of research in the GenAI unit in GDM.&nbsp; I am one of the GDM leads working on factuality, investigating novel recipes for post training involving retrieval, particularly Google search.&nbsp; In order to set you up for success as a&nbsp; at Google DeepMind,&nbsp; we look for the following skills and experience: PhD in a relevant area, or an equivalent research/publication record Number of years experience: anything from recent PhD onwards Strong software-engineering skills in addition to a research background In addition, the following would be an advantage: (require maximum of 5 and minimum of 3 items) Experience in reinforcement learning Experience in post-training methods Experience in LLMs for information-seeking scenarios The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist, Gemini Information Tasks

Snapshot We are the team that built and shipped Google Search's AI Mode from scratch to production. Now, we are embarking on our next mission to build the future of AI assistants. As a Research Scientist or Engineer on this team, you will be at the forefront of AI, tackling foundational challenges in agentic reasoning, planning, and tool use, with a clear and proven path to delivering your work to billions of users. About Us At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working to advance the state of the art in artificial intelligence and ship AI products at a global scale. From data curation, model training, evaluation to serving orchestration, we own end to end development of a helpful AI product. Our team has a proven track record of applying innovative techniques and creating multiple AI products from inception. The Role Your work will directly address some of the most critical open questions in AI today. How do we build agents that can manage long-context dialogues and tasks? How can an agent learn to orchestrate diverse tools—from web search and browsing to UI interaction and private data access—efficiently and effectively? How do we scale from a single powerful agent to a collaborative multi-agent system? You will be responsible for developing novel solutions to these questions, implementing them within our advanced research stack, and benchmarking their performance on challenging, real-world tasks. This is a unique opportunity to build the core components of an AI that can help a user act as an expert shopping companion, help design a living room or planting planner through conversation. You will contribute to a common technical architecture that connects cutting-edge capabilities like bidirectional streaming and long-context, private data retrieval, and Deep Research, with a clear path to bring successful experiments to millions of users. Key responsibilities: Design, implement, and iterate on novel models and algorithms (e.g., Agentic RL) to improve agentic tool use. Tackle the core research problem on long-context reasoning. Develop sophisticated agentic orchestration from data, model training to inference. Explore and build advanced multi-agent systems in both Python for rapid experimentation and C++ for high-performance deployment. Continuously evaluate and benchmark the models against industry standards. Partner with product and engineering teams to integrate your research breakthroughs into live experimental product surfaces, directly influencing the future of Google's assistants. About You In order to set you up for success as a Research Scientist / Research Engineer at Google DeepMind, we look for the following skills and experience: Requirements: Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience. 3+ years of professional or academic experience in machine learning or a related field. Strong programming skills and experience in Python. Experience with one or more deep learning frameworks (e.g., JAX, TensorFlow, PyTorch). Experience in one of the following research areas: Reinforcement Learning, Large Language Models (LLMs), Agent-based Systems, or Natural Language Processing. In addition, the following would be an advantage: A PhD in Computer Science, Machine Learning, or a related field, with a strong publication record in top-tier conferences. Demonstrated experience building and training agentic AI systems, particularly with tool use (e.g., ReAct-style models). Deep expertise in Reinforcement Learning, especially in the context of large-scale models and long-horizon tasks. Experience with long-context models, context compression techniques, or state-space models. Proficiency in Python/C++ for building high-performance, low-latency machine learning systems.

Research Engineer, Agentic AI

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an opportunity to join DeepMind’s Gemini App team where you will define and lead the product vision for how users interact with AI, strategically integrating cutting-edge AI capabilities amidst a rapidly evolving technological landscape. This role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. As a Product Manager focused on Personalization, you'll lead the development of the next generation AI assistant which deeply understands and supports individual user needs and ambitions, building on top of Google’s state-of-the-art Gemini models.&nbsp; Personalization is a top priority for the company, and we aim to build and launch personalized features across the Gemini App surfaces including web, mobile, and Live. We also plan to develop new personalization-related capabilities, including understanding and contextualizing relevant personal information, to transform how users interact with Gemini and evolving it into a truly personal assistant that gets to know users over time. A PM on the Gemini App personalization team will be involved in all aspects of this vision - defining the overall user experience for a personalized Gemini, driving the technical architecture of the product, leading model evals and quality, and driving partner alignment across Google product areas. Key responsibilities: Define and champion a clear product vision, roadmap, and strategic plan for personalizing the Gemini App, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs. Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis. Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative personalization features. Own and drive go-to-market strategies for new personalization features and products, including strategic positioning, market understanding, and impactful messaging. Own and drive the development of robust evaluation methods and success metrics for personalization, converting performance insights into impactful product enhancements. Use quality-driven insights to prioritize product improvements and set up a framework for expanding personalization to additional Gemini App capabilities and surfaces. About You In order to set you up for success as a Product Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 7+ years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch. Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs). Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products. Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts. Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products. Proven ability to prepare and deliver compelling technical presentations to senior leadership. In addition, the following would be an advantage:&nbsp; Experience in building personalized consumer products Hands-on experience in software development or engineering. Experience in proactively identifying ethical risks in AI system Experience working on legal or policy issues related to technology products. The US base salary range for this full-time position is between $183,000 USD - 271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Product Manager, Personalization, Gemini App

Snapshot The role sits within Google DeepMind’s Gemini Evals TPM team. The team is responsible for designing and managing Gemini Evals suite to test model performance. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role The Gemini Evals team is responsible for developing new ways to test and measure model performance. This is an open-ended problem that requires close collaboration between research and engineering and applying the state of the art AI/ML to conversational problems. As a Technical Program Manager in the Gemini Eval team, you will be responsible for driving the development of new evals and the infrastructure to run them. This role requires a strong technical background in AI, excellent program management skills, and the ability to navigate the challenges of large-scale research and engineering efforts. You will work closely with research scientists, engineers, product managers, program managers and other cross-functional teams to solve problems around delivering and deploying massive models.&nbsp; Key responsibilities Program Leadership &amp; Strategy: Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics. Lead and drive progress and improvements in the Evals space to enable Gemini to increase its operating velocity. Manage dependencies across workstreams, functions and orgs. Drive and lead engineering teams to identify, prioritize and track tasks to completion targets. Identify risks and corresponding mitigation plans, and put into motion the solutions. Communicate progress, risks and plans to leadership on a regular basis. Identify operational and process improvements and quickly set-up&nbsp; lightweight processes to fill gaps. Manage multiple, time-sensitive projects simultaneously. Partner closely with PM and Eng leads to understand and influence product direction and ensure execution matches. About you In order to set you up for success as a Gemini Evals Team at Google DeepMind, we look for the following skills and experience: strong technical background, ideally a bachelor or master degree in computer science, data science or related fields strong biased towards action and looking for a start-up mindset and fast-paced environment and have an entrepreneurial drive Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence Skilled at navigating, updating and defining complex processes strong and documented experience running large programs with extended teams of PM, Researchers, Engineers and UX-ers able to thrive in ambiguity and cross-team/cross-site collaborations Fluent in SQL and Python Experience with LLM and models evaluations &nbsp; In addition, the following would be an advantage:&nbsp; Previous experience as data analyst, data scientist or software engineer is a plus &nbsp; The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm GMT Thursday 30th October 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Senior Technical Program Manager, Gemini Evals

Snapshot Project Astra has the mission of researching and building a Universal AI Assistant. We regularly show the most breakthrough research prototypes to the world and are looking to expand the team with someone to work on agentic research and development. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Project Astra has been presented to the public during Google I/O 2024. Since then we released our experimental app to a select pool of trusted testers and have been pioneering agentic research at Google DeepMind. We presented at Google I/O 2025 and have more exciting launches to come! We constantly prototype frontier agentic capabilities and showcase what the future AI assistant could look like. The Role We are looking for a Research Engineer to join the team and work towards building a Universal Assistant. We are looking for someone excited about our mission and interested in working on a broad range of problems: from agentic research to infrastructure projects, from data and evaluation workflows to improving reliability of our engineering stack. Specific tasks are dependent on new joiners skills and interests, and current team needs. Key responsibilities: The team is working on a full stack Universal Assistant prototype and there are opportunities to contribute to the project across workstreams including: Agent infrastructure Multi-agent systems Model inference and optimisations Model fine-tuning and evaluation Prompt optimisations Full-stack integration We collaborate with a number of teams across GDM including Gemini and Gemini App. This role would involve working with a number of partners in a collaborative way. About You In order to set you up for success as a Software Engineer at DeepMind, &nbsp;we look for the following skills and experience: Knowledge of the current trends, frameworks and approaches in agentic AI Creative problem-solving skills applicable to agentic AI workflows Demonstrated ability to conduct research and/or to engineer complex systems In addition, the following would be an advantage:&nbsp; Experience with building agentic workflows Experience with data collection, model fine-tuning and evaluation Track record of publication at leading conferences on the topic of agentic AI and multimodal LLMs Proficient Python Inference optimization techniques Extensive prompt tuning experience Application deadline: 12pm GMT Friday, 30th January 2026&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Engineer, Project Astra, GenAi,  Google DeepMind

Snapshot Google DeepMind is looking for an enthusiastic IP specialist to join the GDM Legal Team.&nbsp; This is a heavily copyright-focused role centered around providing guidance across multiple jurisdictions as applied to AI model training and outputs, dataset collection and use, open source, ML research, product development and copyright policy and advocacy, with particular focus on the EU AI Act and emerging legislation in the field.&nbsp; The Google DeepMind Legal team provides proactive and strategic legal counseling to accelerate Google DeepMind’s best-in-class research and support global product development and release. About Us At Google DeepMind, we are a team of scientists, engineers, ethicists, and more, working to build the next generation of AI systems safely and responsibly.&nbsp; From AlphaFold to Gemini, our research underpins the flourishing AI industry we see today.&nbsp; We've built a unique culture and work environment where long-term ambitious research can flourish, and where product development and integration can lead to adoption by billions of users.&nbsp; We closely partner with Google teams to bring AI into many Google products and services.&nbsp; We are located in numerous countries, and comprise a group of dedicated individuals diverse in both backgrounds and experiences. The Role We are seeking a qualified lawyer to join our in-house legal team. This is a unique opportunity for a lawyer who is passionate about the intersection of intellectual property and artificial intelligence.&nbsp; You will work across jurisdictions, advising research and product teams on data acquisition, model training, and the deployment of generative AI tools.&nbsp; You will serve as a bridge between complex legal frameworks (like the EU AI Act) and technical reality, ensuring our models are built on a foundation of legal integrity, and legal policies are built on technical practicalities.&nbsp;&nbsp; Key responsibilities:&nbsp; Advise research and engineering teams on copyright and data usage issues related to the training, tuning, and deployment of both task-specific and general Large Language Models (LLMs) and other AI systems and components. Monitor and interpret evolving AI and copyright regulations, with a specific focus on the EU AI Act (including General Purpose AI obligations under Art. 53), the EU Digital Single Market Directive (TDM exceptions), and US Copyright Office guidance. Support and develop AI compliance efforts and reporting requirements, including the requirements of the EU AI Act and its Code of Practice, for both the model and the data levels. Support policies and practices for handling datasets, including assisting with reviews and vetting of datasets for legal risk, ensuring compliance with appropriate copyright regulations and exceptions (e.g., fair use, TDM), opt-out protocols (e.g., robots.txt), and licensing terms. Partner with policy, ethics, and technical teams to translate legal requirements into actionable technical guardrails for GDM and the industry. Support the drafting and negotiations of complex licensing agreements and content partnerships. Support the evaluation and applications of open source licenses to both incoming and outgoing code and data. About You In order to set you up for success at Google DeepMind,&nbsp; we look for the following skills and experience: Requirements:&nbsp; J.D., LLM or equivalent degree, and a valid license to practice law in the relevant jurisdiction (US attorney or UK Solicitor/Barrister). Minimum of 4 years of relevant legal experience, including: Strong familiarity with copyright issues that are at the heart of the public and government debate around AI and its regulatory and policy landscapes in at least the US, UK and EU. Identifying, developing and providing analyses and guidance to project leadership in the context of such copyright issues.&nbsp;&nbsp; Legal counseling at key decision points in the AI lifecycle. Experience working with and providing regular guidance to front-line technical clients, and collaboratively working in a legal team setting on large, complex issues and in evolving areas of law. At least basic familiarity with the technical workings of AI systems and processes such as ML training, model architectures and serving lifecycles.&nbsp; Additional familiarity with web search and web architectures and related technology is a plus. Strong communicator, able to flex your communication style to reach different audiences, particularly the technical community and high-level management. In addition, the following would be an advantage: Additional experience with one or more of supporting government reporting and compliance requirements, developing and making policy recommendations, supporting strategic research and product development efforts using a risk-based framework, and in-house experience is a plus. The US base salary range for this full-time position is between $210,000 - $312,000+ bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Associate Corporate Counsel, IP (Copyright)

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot We are seeking a highly motivated and innovative Research Engineer to join our team in Tokyo, focused on building state-of-the-art multimodal embodied agents. You will work with researchers and engineers to develop general-purpose agents capable of perceiving, reasoning, planning, and executing precise real-time actions in complex, open-ended environments. In this role, you will utilize the latest advancements in multimodal large language models (LLMs), vision-language-action (VLA) models, in-context learning (ICL), supervised fine-tuning (SFT), and reinforcement learning (RL) to tackle fundamental challenges in embodied intelligence. You will leverage these architectures to bridge the gap between high-level long-horizon planning and low-level high-frequency motor control, creating agents that can adaptively master tasks in rich virtual testbeds (including high-fidelity 3D simulations and sandbox games). This role offers a unique opportunity to stand at the forefront of the quest for AI. You will join a world-class team tackling the "hard problems" of embodiment—autonomously solving long-horizon tasks, learning from vast multimodal memories, and generalizing to completely unseen worlds. If you are passionate about pushing the frontiers of what AI agents can achieve and are eager to define the next era of adaptive intelligence, we encourage you to apply. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As a Research Engineer at Google DeepMind, you will contribute to the development of Gemini-powered embodied agents capable of autonomous progression and complex problem-solving. We believe that rich virtual environments provide the ideal pressures to develop robust skills in reasoning, memory, and motor control. You will use these domains to research how agents can learn from demonstrations and experiences, and adapt their strategies in real-time. Key responsibilities Agent Architecture &amp; Control: Develop and optimize state-of-the-art agent architectures that seamlessly integrate multimodal perception, reasoning, and precise real-time execution. Scalable Learning: Build and scale training recipes utilizing supervised fine-tuning, reinforcement learning, imitation learning, and/or in-context learning.. Memory &amp; Planning: Design advanced systems that enable agents to reason over long horizons and effectively utilize memory to solve complex, extended tasks. Adaptation: Research and implement capabilities that allow agents to adapt to new environments and learn from experience at test time. Evaluation: Establish rigorous benchmarks within virtual environments to measure progress in general agent capabilities and embodied intelligence in unseen environments. &nbsp; About you You are a passionate and talented Research Engineer with a strong foundation in Deep Learning and a proven ability to conduct impactful research. You are excited by the challenge of building agents that demonstrate general intelligence through embodied interaction. Minimum qualifications: Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch. Strong programming skills in Python and experience with large-scale data pipelines. Solid understanding of LLM internals, e.g., typical training pipelines, computational characteristics of training/inference, mechanisms for multimodal extension. Knowledge of Deep Reinforcement Learning (RL), LLM Reasoning, Imitation Learning, Memory-Based Architectures, Vision-Language-Model (VLM), and/or Vision-Language-Action (VLA) models. Proven track record of designing, implementing, and maintaining robust technical assets (such as libraries, frameworks, or models) used by a large number of technical stakeholders; experience with OSS contributions is a plus. Excellent communication and collaboration skills. In addition, the following would be an advantage:&nbsp; A minimum of 5 years of relevant professional experience. Experience building agents for 3D virtual environments, simulators, or video games. Strong track record in competitions in machine learning, data science, or AI in games. Strong track record in AI competitions or publications in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, etc.).

Research Engineer, Embodied Generalist Agent

Snapshot Research Engineer position to help advance the state of the art in multimodal AI, and bring its benefits to Google products used by billions of people worldwide. Our team at Google DeepMind works on cutting-edge research to advance the foundational capabilities of multimodal AI systems. In addition to producing highly-cited research published at top academic venues, our innovations land in flagship models like Gemini, and in Google products used by people every day. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role You will be part of the REMY (Research &amp; dEvelopment in Multimodal technologY) team in the Media Understanding organization, at Google DeepMind. In this role, you will have the opportunity to push forward state-of-the-art research in multimodal AI representation models, in the context of recent advancements in multimodal foundation models generally. You'll be at the forefront of developing models that power Google products used by billions of people worldwide. Your work will directly impact how these products understand and interact with images, text and video. This is a unique opportunity to shape the future of multimodal AI and its applications in a dynamic and impactful environment. We are a team of research/software engineers, research scientists, and machine learning experts, working together to enable superhuman understanding of the multimodal world. You'll be developing the next SOTA models for multimodal understanding. Your work will include researching new modeling techniques, implementing research ideas, running experiments to evaluate improvements, and identifying new opportunities. Key responsibilities: As a member of the Media Understanding team, you will be responsible for conducting fundamental and applied research in multimodal AI (computer vision, language understanding, machine learning, and related areas). Your job responsibilities will include: Conducting core research in the areas of computer vision, language understanding, multimodal models, large scale AI models and other key computer vision tasks. Training and evaluating AI models for a variety of use cases.&nbsp; Researching, implementing, and adapting state of the art deep learning approaches for Google’s use cases Collaborating closely with other GDM and partner teams to make progress towards building the most advanced representation models. About You In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience: &nbsp; We are an applied research team that takes on challenging real-world problems and thrives on finding solutions in the presence of ambiguity. In order to set you up for success as a Research Engineer/Scientist at Google DeepMind, we look for the following skills and experience: Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 2+ years of relevant experience. Conduct research to identify and address impactful problems inspired by current and future real-world needs. Investigate and develop novel solutions by studying related work, conducting experiments, and constructing prototypes and demonstrations. Innovate and assess new machine learning models and techniques for pilot projects, quickly demonstrating viability and potential impact.&nbsp; Transform successful prototypes into scalable solutions for wider integration within Google's products. Collaborate with product teams to drive the implementation of research insights, fostering innovation and the development of new products. In addition, the following would be an advantage:&nbsp; Strong research experience and publication record in top tier conferences. Experience with core software engineering and applied implementations of AI&nbsp; A good team player who has demonstrated that they can work across teams. The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: October 13, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Research Engineer, Multimodal AI

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. About us Our mission: Our vision is to improve Gemini as a “visual designer”. Powerful visual storytelling is crucial for standing out in the digital landscape. Businesses and creators struggle with a process that is manual, time-consuming, expensive, and requires specialized skills. Overcoming these friction points is vital for leveraging visual storytelling to drive engagement and maintain a competitive edge. By deeply integrating advanced visual design capabilities into Gemini models, we empower users to overcome these traditional barriers and unlock new levels of creative expression and efficiency. The mission of our team is to “Understand structured media content deeply through vision and generate new professional-grade content of prime quality”.&nbsp; To deliver on our mission, our team is working towards advancing Gemini/GemPix’s capabilities towards generating media directly in their natural structured representation format blending text, images, vectors etc. Our work has far reaching impactful use cases across Google PAs including Gemini App, Ads, Labs and Workspace. The role As a Research Engineer in our team you are responsible for all aspects of developing SOTA visual design capabilities advancing Gemini models to deliver intelligent experiences to users in their design creation workflows. You are expected to collaborate closely with Gemini and GemPix partners to accelerate the development of design intelligence capabilities to assist users towards effortlessly creating structured graphic-rich editable and interactive media content, including slides, posters, ads, invitations, illustrations, and other graphic designs. You will also mentor more junior members of the team on ML best practices, generating technical roadmaps with other engineering leaders and executing against our most important priorities. Key responsibilities Lead the modeling developments that advance the visual design intelligence of Gemini models. Exemplify technical excellence in your design, modeling / experimentation, documentation, and code and be a mentor for the junior engineers. Demonstrate strong research skills in formulating research hypotheses and design experiment methodologies to test them. Design and architect technical solutions addressing the needs and priorities of Gemini models, while minimizing privacy and legal risks. Help shape the technical roadmap through engagements with engineering and product leads of Gemini/Gempix teams. Drive alignment on deliverables, timelines and execution to deliver impact. Be forward looking and proactively suggest new topics for the team to invest on. About you You must meet these minimum qualifications to apply for this job Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Experience in ML, working with data, quality metrics, quality iterations. In addition, the following would be an advantage: MSc/Phd in ML (or 2+ years of experience with LLMs). Experience in large-scale vision-language models (VLMs). Experience in media generation with large models (LLMs or diffusion models). Experience in RL modeling. Experience in graphic design (or animations or rendering). Experience in ML infrastructure. Application deadline: 18th Jan 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

Research Engineer, Google DeepMind

Snapshot We are seeking an Administrative Business Partner to support up to three leaders, who can strategically manage the day-to-day operational needs and support on projects &amp; initiatives to help drive team &amp; company priorities. This role would suit someone who thrives in a fast-paced, changeable environment and enjoys working as part of a team that is both locally and globally distributed. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role Key responsibilities: Strategically and proactively manage a very complex and ever-changing calendar of meetings, conference calls, interviews appointments, across numerous time zones and different office locations. Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies. Collate and track actions and deliverables. Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting. Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making. Understanding of the key stakeholders; build and maintain effective working relationships across the whole organisation. Draft and send out team communications.&nbsp; Organise and execute internal and external events for business and team events e.g. off-sites, lunches, talks, seminars, visitors. Arrange domestic and international travel for meetings, international office visits and speaking engagements e.g. hotel reservations, flight check-in, visas, detailed travel itineraries and overseas transport. You may be required to travel with executives and teams and remain on-call to respond to executive’s urgent requests during travel; may develop travel agendas and complete post-travel documentation as needed Financial administration e.g. compile expense claims, approve purchase order requests, contract creation, reimbursements, etc. Act as a point of contact, dealing with incoming requests, requiring heavy email correspondence. Apply knowledge and skills to move work forward, leveraging AI tools as appropriate to maximise impact. You may be involved in assisting and leading on site specific initiatives within Google DeepMind. About You You are a resilient Assistant, with experience working in a fast-paced environment. You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow.&nbsp; Passionate about supporting and enabling others, motivated by Leader support.&nbsp; Proactive, you are a self-starter and a naturally strong problem-solver; you can anticipate what needs to be done without guidance. Highly organised, you manage priorities well; juggling and handling multiple deadlines and tasks efficiently, whilst being able to manage expectations in a thoughtful way. Can adapt quickly to changing demands and embrace ambiguity. Able to demonstrate administrative excellence, you have an acute and exceptional attention to detail. Solid communicator and active listener; you exhibit a high EQ. Able to build relationships across teams and foster trust. Collaborative and thrives in a team environment. Proactively seek out time-saving solutions and tools. Open to new ways of working, curious and dedicated to continuous improvement for yourself and the team. Experience with Google Suite is preferable but not crucial. The US base salary range for this full-time position is between $77,000 - $110,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our&nbsp;Applicant and Candidate Privacy Policy &nbsp;

Administrative Business Partner

Snapshot The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done &amp; enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.&nbsp;&nbsp;&nbsp; About Us At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. &nbsp;We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.Role Our teams are fast-moving and highly collaborative. You’ll work closely with a team of engineers, research scientists, and product managers to improve, design, and build the AI tools and features people around the world need now and in the future. You’ll do it using Google’s best AI models, and you’ll play a role in shaping the future of how people use AI in their lives. As an AI Product designer, you will drive design end-to-end, from conceptualization and ideation to prototyping and implementation.&nbsp;&nbsp; Responsibilities Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction. Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes. Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives. Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities. Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable. Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information. Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches. Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate. Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions. In order to set you up for success as a Product Designer at Google DeepMind, we look for the following skills and experience Bachelor's degree in Design, Human-Computer Interaction, or a related field. 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications. Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts. Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product&nbsp; Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward&nbsp; in the absence of data.&nbsp; Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle. Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.&nbsp; Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape. In addition, the following would be an advantage:&nbsp; Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.&nbsp; Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences. Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer. Experience with front-end development technologies (HTML, CSS, JavaScript). Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation. The US base salary range for this full-time position is between $224,000 - $315,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

AI Product Designer, Gemini App UX

Snapshot&nbsp; &nbsp; Google DeepMind Developer Experience works at the intersection of Engineering, Product, and Community. We champion developer success by delivering seamless experiences across our GenAI product suite. Through deep collaborations across Google, we empower developers by providing high-quality launch materials, education, technical outreach, and a supportive ecosystem for developers of all backgrounds. About Us&nbsp; &nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role &nbsp; As a Developer Relations Engineer for Google DeepMind, you will work at the critical intersection of Product, Engineering, Research, and the developer community. You are the trusted voice of the developer inside our organization and the expert technical voice of our organization to the world. Your mission is to champion developer success and drive the adoption of our models and tools. You will actively shape our products and models, multiply the impact of launches, and scale the AI builders ecosystem. This role requires a unique blend of deep technical expertise, developer empathy, and strategic thinking to navigate the evolution of foundational AI technology and developer needs. You will work with a passionate, cross-functional team of engineers, researchers, and product managers who are dedicated to pushing the boundaries of what’s possible with generative AI. If you are excited to shape the developer experience for the world's most advanced AI and build a thriving ecosystem around it, this is your chance to be at the forefront of this technological revolution. Key responsibilities Lead technical go-to-market strategy for new AI models and tools (like Gemini, Veo, Gemma, and Google AI Studio), owning the creation of developer assets (demos, tools, guides) to ensure developer success. Drive the growth of our developer ecosystem by identifying and growing strategic technical partnerships with key frameworks and platforms, leading integration efforts that embed our technology directly into the tools developers use every day. Champion developer education and engagement at scale, representing Google DeepMind as a technical authority at events and creating authoritative content (videos, blogs, workshops) that inspires and enables developers worldwide. Shape the product and research roadmap by translating developer feedback and technical insights into actionable requirements that guide the future of our models and APIs. Act as the "zeroth customer" for our technology, collaborating closely with engineering on early designs and providing critical, hands-on feedback to ensure new features and APIs are not only powerful but also intuitive and ready for real-world application. About you &nbsp; In order to set you up for success as a Developer Relations Engineer at Google DeepMind,&nbsp; we look for the following skills and experience: Ability to produce excellent code samples, clear documentation, and effective how-to materials to enable developer success with technical offerings. Ownership of problems end-to-end and a team player with a collaborative mindset. Bachelor's degree or equivalent practical experience. Coding expertise in Python, Typescript or Javascript&nbsp; 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Keras, LLMs), artificial intelligence, deep learning or natural language processing. 5 years of work experience in a technical role (e.g., software engineering, AI engineering, solutions consultant, etc.) or equivalent technical experience. Experience with testing, designing and influencing software launches In addition, the following would be an advantage:&nbsp; Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable 4 years of experience in an external facing role or equivalent experience through community or open source contributions Ability to navigate ambiguity in a fast paced environment Experience with product development lifecycle Ability to develop products and features MVP in Python/REST/JavaScript &nbsp; Application deadline: 12pm GMT Thursday 8th September 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;&nbsp; &nbsp; &nbsp; &nbsp;

Developer Relations Engineer

Snapshot Join Google DeepMind's high-visibility AI Studio and Gemini API team and play a pivotal role in shaping the future of AI development! As a Software Engineering Manager, you will lead and grow a team of exceptional software engineers, while still maintaining a deeply technical understanding and influence over critical Gemini API features that empower developers worldwide. This role demands a proven track record of delivering highly scalable, high-performance AI solutions, often leading complex technical initiatives from inception to launch. You'll collaborate closely with&nbsp;product managers, Technical Program Managers (TPMs), and fellow engineers,&nbsp;providing technical leadership and mentorship while maintaining a significant coding&nbsp;presence. If you are an exceptional leader with a strong understanding of AI concepts,&nbsp;a history of driving architectural decisions, and a passion for both building&nbsp;groundbreaking technology and empowering people, we want to hear from you!&nbsp;You can see some of our work at aistudio.google.com. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google&nbsp;DeepMind, we’re a team of scientists, engineers, machine learning experts and more,&nbsp;working together to advance the state of the art in artificial intelligence. We use our&nbsp;technologies for widespread public benefit and scientific discovery, and collaborate&nbsp;with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are looking for a Director of Engineering who is passionate about making Gemini&nbsp;Models win the hearts and minds of developers. This role is motivated by the critical&nbsp;capabilities we can build on top of Gemini models and externalize to the world. You&nbsp;will operate with significant autonomy, leading a team to drive technical direction&nbsp;and execution for key areas of the Gemini API and serving infrastructure. Key responsibilities: Lead, mentor, and grow a team of Software Engineers, fostering a&nbsp;high-performance culture, promoting technical excellence, and ensuring career&nbsp;development for your direct reports. Define and drive the technical strategy and roadmap for highly scalable&nbsp;and robust Gemini API features and infrastructure, used to externalize Gemini&nbsp;Models and their tooling ecosystem to external developers. Oversee and guide the scaling of the Gemini Model serving stack to&nbsp;handle billions of requests per day and support millions of developers, ensuring&nbsp;the team identifies and resolves complex performance bottlenecks. Provide architectural oversight and strategic direction for significant&nbsp;components within the entire lifecycle of the Model serving stack, from&nbsp;research and internal testing to externalization via API and AI Studio. Contribute to hands-on development as needed, especially for critical path&nbsp;items, complex architectural decisions, or to unblock the team, while primarilyfocusing on managerial responsibilities. Drive the productionization of new generative AI technical stacks,&nbsp;ensuring the team delivers robust, production-scale features. Collaborate strategically with partner Product Areas/teams at a senior&nbsp;level to advance LLM state-of-the-art techniques and realize significant&nbsp;real-world product impact. Own the operationalization strategy for Gemini models from&nbsp;research/internal testing to external developers in production, setting the&nbsp;standards for reliability and scalability. Innovate and implement solutions to build a production environment that can&nbsp;reliably scale to billions of requests, ensuring high availability and low latency. Manage project priorities, deadlines, and deliverables, effectively allocating&nbsp;resources and mitigating risks. About You In order to set you up for success as a Software Engineering Manager at Google&nbsp;DeepMind, we look for the following skills and experience: Master's degree in Computer Science or a related technical field, or equivalent practical experience. 15+ years of experience in software development, including significant&nbsp;experience in a technical leadership or management role, leading&nbsp;high-performing engineering teams. Proven experience managing, mentoring, and developing a team of&nbsp;software engineers, including performance management, career growth, and&nbsp;fostering a collaborative team environment. Expert-level proficiency in software architecture, distributed systems&nbsp;design, and scalable infrastructure. Proven track record of leading complex technical projects from conception&nbsp;to launch, demonstrating significant impact. Demonstrated ability to drive inter-team and cross-functional collaboration&nbsp;at a senior leadership level. Exceptional problem-solving skills with a proven track record of innovative&nbsp;ideas and excellent execution in challenging technical domains. Deep understanding of code collaboration best practices and experience&nbsp;with large-scale monorepos. In addition, the following would be an advantage: Extensive experience with Generative AI models and applications, either&nbsp;through direct development or strategic oversight. Experience with Full-Stack Development, particularly in environments that&nbsp;interact with complex backend AI services. Proficiency in one or more general-purpose programming languages (e.g., Go,Python, Node.js, C++, Kotlin) relevant to large-scale systems. The US base salary range for this full-time position is between $294,000 - $414,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made&nbsp;to you, any offer of employment will be conditional on the results of a background&nbsp;check, performed by a third party acting on our behalf. For more information on how&nbsp;we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp;

Director, Engineering, AI Studio, Gemini API

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We’re looking for a talented Events Manager to join our Events and Experiences team.&nbsp; This is a rare opportunity to plan and deliver internal and external events that help drive connection, collaboration and knowledge sharing across multiple locations, time zones and disciplines. Our internal events play a key role in helping to shape and amplify Google DeepMind’s culture , enabling collaboration and celebrating key moments for the organisation at an important stage of our journey. Our external facing events allow us to showcase our groundbreaking technology and products, develop partnerships, build trust and advocacy and attract top class talent. The Role This is a 9 month fixed term contract opportunity to join our Events and Experiences team who sit in MTV and London.&nbsp; You will also partner with other teams across Google DeepMind to plan and manage both internal and external events.&nbsp; Events could include a variety of internal events such as Town Halls, offsites, summits, hackathons, and celebrations to drive collaboration, knowledge sharing and connection.&nbsp; There will also be some external events such as product launches and tech weeks. Key responsibilities: Managing a range of events in the Bay Area for Google DeepMind including a holiday party, workshops, offsites, company wide events, social events, tech weeks and product launches. Partner with teams across Google DeepMind and Google (Operations, Research, Engineering, Marketing Communications, Brand, People and Culture) to ensure seamless event planning and execution. Project managing multiple often complex projects at one time. Evolving the format of existing events. Developing creative concepts in collaboration with internal teams and external agencies. Applying your events industry knowledge and experience to help improve and evolve the GDM event experience. Cultivating relationships; communicating with senior leaders, stakeholders, and managing external partners and vendors. Managing budgets. Managing onsite including possible international travel. Ensuring events are compliant with all health and safety, regulatory and other governance. About You You are&nbsp; a motivated, friendly, curious and approachable individual with solid events experience, who wants to work for a fast-paced and ambitious company with events playing an integral part to its success. You should be a strong all-round events professional with great project management skills and a good understanding of all aspects of event management, and a keen interest in employee engagement and building cultural programs. In order to set you up for success as an Internal Events Manager at Google DeepMind,&nbsp; we look for the following skills and experience: A portfolio that demonstrates a breadth of events of varying scope, scale and audiences.&nbsp; Exceptional project management skills and proven experience in managing your own projects end to end. A natural problem solver. Curious and always open to new ideas and learning opportunities. Creative and innovative. Deep knowledge of the events industry and current and future trends. Track record of hiring and managing agencies and other partners. Ability to simultaneously manage multiple tasks and meet deadlines. Budget management skills. Comfortable navigating change and ambiguity in a fast paced environment. Experience working independently. Collaborative and inclusive approach. Flexibility to travel as needed.&nbsp; Interest or experience in science and innovative technology, including in the field of artificial intelligence research or deployment of machine learning systems. Anticipated Start date- September 2025- June 2026 Role- Deadline: August 18th 2025 &nbsp; &nbsp; &nbsp;

Events Manager ( 9 Month Fixed Term Contract )

Snapshot&nbsp; We are seeking a proactive, detail-oriented Executive Business Partner to support up to two leaders. You'll manage their complex schedule, build strong relationships, anticipate needs, and ensure seamless execution of key tasks. &nbsp;This role would suit someone who thrives in fast-paced, changeable environments and who has previous experience working with senior leaders in global organisations. About Us&nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are seeking an exceptionally capable Executive Business Partner to work with two senior leaders. Paramount to this role will be ensuring their time is optimised and they can lead effectively within the GDM. You'll work closely with partners to ensure seamless coordination and execution of their strategic focus areas. Key responsibilities: Proactively manage complex schedules to ensure priorities are reflected, scheduling conflicts are minimised, and travel is highly efficient. Build and maintain a trusted working relationship with each leader, alongside building effective relationships with their team and key stakeholders. Act as the “gateway” and point of contact, to help maintain strong connections with Senior Leaders of the business, Board Leads, and others, fostering collaboration with diverse internal and external stakeholder group. Supporting with operational tasks and processes; suggesting ideas for continuous improvement to increase efficiencies. Collate and track actions and deliverables. Meeting support - circulating agendas, capturing notes and ensuring actions are followed up on and are completed. Ensure meeting roles, agendas and briefing documentation are in place for each meeting. Develop a strong working relationship with each leader: thinking ahead, handling priorities, anticipating needs and future challenges, proposing solutions to enable effective decision-making. Draft and send out team communications. Organise and execute internal and external events for business and team events e.g. off-sites, lunches, talks, seminars, visitors. Arrange domestic and international travel for meetings, international office visits and speaking engagements e.g. hotel reservations, flight check-in, visas, detailed travel itineraries and overseas transport. Financial administration e.g. compile expense claims, approve purchase order requests, contract creation, reimbursements, etc. Act as a point of contact, dealing with incoming requests, requiring heavy email correspondence. About You You are a resilient EBP, with experience working in a fast-paced environment. You are energetic, enthusiastic and have a keen interest to continue to develop your career in supporting and enabling others. Colleagues describe you as positive, warm, kind, trustworthy and efficient; with a can-do attitude, willingness to learn and a strong desire to grow. &nbsp; You will have extensive experience working in an executive assistant role supporting senior executives and are passionate about supporting and enabling others, motivated by Leader support. You are a self starter, highly organised &amp; proactive with a proven track record in &nbsp;diary management, juggling multiple tasks, prioritising effectively and with impeccable attention to detail. You adapt quickly to change and thrive under pressure. You are comfortable with ambiguity and you anticipate problems with care. By exercising good judgement and discretion, you are able to determine appropriate next steps and problem solve. You instinctively act with total discretion and diplomacy and remain calm even in stressful situations. You are results-driven and action oriented, able to with both pace and accuracy, taking initiative to deliver exceptional outcomes. You are naturally curious; you ask questions to build knowledge and in order to think multiple steps ahead - no job is too big or small. You are passionate about our mission, proactive about learning and acquiring knowledge to enhance your experience. Solid communicator and active listener; you exhibit a high EQ. You are able to build strong relationships across teams and foster trust. Experience with Google Suite is preferable but not crucial.&nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; Instantané&nbsp; Nous recherchons un Executive Business Partner proactif et rigoureux pour soutenir jusqu'à deux responsables. Vous devrez gérer son emploi du temps complexe, établir des relations solides, anticiper ses besoins et veiller à ce que les tâches clés soient exécutées sans accroc.&nbsp; Ce poste conviendrait à une personne qui s'épanouit dans des environnements dynamiques et en constante évolution, et qui a déjà travaillé avec des dirigeants d'organisations internationales. À propos de nous&nbsp; L'intelligence artificielle pourrait être l'une des inventions les plus utiles de l'humanité. Chez Google&nbsp;DeepMind, nous sommes une équipe de scientifiques, d'ingénieurs, d'experts en machine learning et plus encore, qui collaborent pour faire progresser l'état de l'art en intelligence artificielle. Nous utilisons nos technologies pour le bien public et la découverte scientifique, et collaborons avec d'autres sur des défis critiques, en veillant à ce que la sécurité et l'éthique soient prioritaires. Le rôle Nous recherchons un Executive Business Partner exceptionnellement compétent pour travailler avec deux responsables seniors. Il est essentiel que les GDM puissent optimiser leur temps et diriger efficacement leur équipe. Vous travaillerez en étroite collaboration avec les partenaires pour assurer une coordination et une exécution fluides de leurs domaines d'intérêt stratégiques. Principales responsabilités&nbsp;: Gérez de façon proactive des plannings complexes pour vous assurer que les priorités sont respectées, que les conflits d'horaires sont réduits au minimum et que les déplacements sont très efficaces. Établir et entretenir une relation de travail de confiance avec chaque responsable, tout en nouant des relations efficaces avec son équipe et les principaux partenaires Servir de "passerelle" et de point de contact pour maintenir des liens étroits avec les dirigeants de l'entreprise, les responsables du conseil d'administration et d'autres personnes, et favoriser la collaboration avec divers groupes de personnes intéressées internes et externes. Aider à réaliser les tâches et processus opérationnels&nbsp;; suggérer des idées d'amélioration continue pour accroître l'efficacité. Regrouper et suivre les actions et les livrables Aide à l'organisation des réunions&nbsp;: diffusion des ordres du jour, prise de notes et suivi des actions décidées. S'assurer que les rôles, les ordres du jour et les documents d'information sont en place pour chaque réunion Développer une relation de travail solide avec chaque responsable&nbsp;: anticiper, gérer les priorités, prévoir les besoins et les défis futurs, proposer des solutions pour faciliter la prise de décision. Rédiger et envoyer des communications à l'équipe&nbsp; Organiser et exécuter des événements internes et externes pour l'entreprise et l'équipe (par exemple, des séminaires hors site, des déjeuners, des conférences, des séminaires, des visites) Organiser les déplacements nationaux et internationaux pour les réunions, les visites de bureaux à l'étranger et les conférences (réservations d'hôtel, enregistrement des vols, visas, itinéraires de voyage détaillés et transports à l'étranger) À propos de vous Vous êtes un EBP résilient, avec une expérience dans un environnement dynamique. Vous êtes dynamique, enthousiaste et vous avez envie de continuer à développer votre carrière en aidant les autres. Vos collègues vous décrivent comme une personne positive, chaleureuse, gentille, digne de confiance et efficace, qui a la volonté d'apprendre et un fort désir de progresser.&nbsp;&nbsp; Vous avez une grande expérience en tant qu'assistant de direction auprès de cadres supérieurs. Vous aimez aider les autres et les accompagner, et vous êtes motivé par le soutien de la direction. Vous êtes autonome, très organisé et proactif. Vous avez une expérience avérée dans la gestion d'agenda, la gestion de plusieurs tâches, la définition efficace des priorités et le souci du détail.&nbsp; Vous vous adaptez rapidement aux changements et vous êtes efficace sous pression. Vous êtes à l'aise avec l'ambiguïté et vous anticipez les problèmes avec soin. En faisant preuve de discernement et de jugement, vous êtes en mesure de déterminer les prochaines étapes appropriées et de résoudre les problèmes.&nbsp; Vous agissez instinctivement avec une discrétion et une diplomatie totales, et vous restez calme même dans les situations stressantes. Vous êtes axé sur les résultats et l'action, capable de travailler rapidement et avec précision, et vous prenez des initiatives pour obtenir des résultats exceptionnels. Vous êtes naturellement curieux et posez des questions pour acquérir des connaissances et anticiper les étapes à venir. Aucune tâche n'est trop grande ou trop petite. Vous êtes passionné par notre mission et vous cherchez à apprendre et à acquérir des connaissances pour améliorer votre expérience. Vous êtes un bon communicant et un bon auditeur, et vous faites preuve d'une grande intelligence émotionnelle. Vous êtes capable de nouer des relations solides entre les équipes et de favoriser la confiance. Une expérience avec Google&nbsp;Suite est préférable, mais pas indispensable. &nbsp;

Executive Business Partner

Snapshot As an Executive Communications Manager, you’ll be responsible for preparing senior executives for external media and speaking engagements that protect and enhance Google DeepMind’s reputation. This role is pivotal in helping develop, shape, and communicate the Google DeepMind story to external audiences. About Us We believe artificial intelligence – and ultimately artificial general intelligence (AGI) —&nbsp; has the potential to be one of the most important and beneficial technologies ever invented. We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly. By solving some of the hardest scientific and engineering challenges of our time, we’re working to create breakthrough technologies that could advance science, transform work, serve diverse communities — and improve billions of people’s lives. The Role Key responsibilities: Building relationships with key senior executives; strategizing holistically across the executive team to ensure that the right executive voices are heard at appropriate moments, on key topics Prepare executives for high-visibility external engagements with briefing documents and logistical details - drafting talking points, soundbites, talk abstracts and more Provide coaching, guidance and support to spokespeople in preparation for high profile external speaking opportunities and media engagements. Identify, pitch and maintain relationships with major media players and event organizers to ensure optimal placements for GDM Manage journalists and event partners on all aspects of major external engagements Proactively identify opportunities and risks ahead of external engagements by monitoring trending topics in news coverage, social media conversation. Ensure executive content aligns with the company's long term mission, vision, progress and values.&nbsp; Vet and respond to inbound requests for key executives based on GDM strategic priorities Guide the update and maintenance of helpful self-service materials for executives that reflect the values and company positions of Google DeepMind.&nbsp; Work closely with other teams to deliver strategic executive social content Build and maintain a calendar for Google DeepMind speaker’s bureau&nbsp; (e.g., industry events, conferences)&nbsp; Develop criteria for evaluating opportunities and success metrics to measure the impact of executive engagements About You In order to set you up for success at Google DeepMind, we look for the following skills and experience: Successful track record of pitching and managing high-visibility external media moments and events ideally in the tech / AI space Good media landscape knowledge and relationships Demonstrable experience working with senior executives on their external engagements preferred Strong writing skills tailored to a variety of formats and audiences Ability to convey complex technical information in clear, creative and compelling ways Experience in the tech industry; demonstrable curiosity and interest in the AI landscape Meticulous attention to detail and organization&nbsp; Solutions-oriented approach to problem solving High discernment and good judgment A strong collaborator, you seek out opportunities to partner with colleagues to create synergies, improve results, and have maximum impact. Creativity with a flexible approach, adjusting style and tone when needed to drive the executive communications vision Ability to thrive in a fast-paced environment. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high-profile breakthroughs towards building artificial general intelligence (AGI), and we have all the ingredients in place to make further significant progress over the coming year! About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and responsibility are the highest priority. The Role Foundational Research Scientist Leads at Google DeepMind take responsibility for leading the organization to build AI responsibly and play a crucial role in shaping the future of Google DeepMind. They lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence. They have a keen sense of strategically important and impactful problems. They should excel in a research driven culture, be comfortable diving deep into the details, yet be able to step back and communicate both the strategic and immediate implications on priorities. Having pioneered research in the world's leading academic and industrial labs, Research Scientist Leads join Google DeepMind to work collaboratively within and across Research fields. They are expected to work with teams on large scale AI, and develop breakthrough solutions to fundamental questions in machine learning and AI. Key responsibilities: As a Foundational Research Scientist Lead and Director you will:&nbsp; Set the long-term vision and strategic direction for the team's research and development efforts towards developing AI responsibly to benefit humanity.&nbsp; Lead, mentor, and grow a high-performing team, fostering a culture of innovation, collaboration, and technical excellence. Drive the end-to-end execution of complex research projects driven by innovation, fundamental research, and evolving business conditions and needs. Act as the primary point of contact, representing the team's work and influencing stakeholders across Google DeepMind and Google’s product organizations. Actively partner with cross-functional leaders across Google and role model cross-organizational collaboration. About You We are seeking a research leader who thrives in ambiguity and is adept at navigating the uncertainty of research. You are skilled at guiding a team to invent novel solutions, pivot when ideas don’t work out, and maintain momentum. In order to set you up for success as a Foundational Research Scientist Lead at Google DeepMind, we look for the following skills and experience: PhD in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience. Significant experience building and leading world-class research and engineering teams. Proven experience in deep learning research and development and internationally recognised as a leader in the area. Strong publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, etc) Excellent communication, interpersonal and leadership skills.&nbsp; A passion for Google DeepMind’s mission and excited about AI and its potential for Scientific and real world impact. &nbsp; Application deadline: Tuesday 30th September &nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

Foundational Research Scientist Lead & Director

Snapshot Bring groundbreaking AI capabilities to life in the Gemini App. Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We're seeking experienced, self-motivated engineers to build cutting-edge Gemini applications that will redefine AI interaction for billions. We are the driving force behind many of Google's most ambitious and impactful AI breakthroughs. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role The Gemini App is the interface for Google’s most advanced AI capabilities, spanning multiple surfaces including web, mobile, and smart devices. We are looking for motivated engineers to join the GeminiApp team and drive efforts within our mobile app (Android and/or iOS, depending on experience).&nbsp; As a mobile engineer, you’ll partner closely with Modeling, UX, and Product teams to deliver valuable user experiences. You'll apply best practices and sound system design, while also moving quickly to prototype new ideas and innovate. Key responsibilities: Contribute to and drive end-to-end development on the Gemini App's mobile platform (Android and/or iOS). Your strong technical expertise and proactive approach will be essential in building and launching features that shape the user experience. Design mobile front-end and application server components. Promote best practices and scalable system design, while balancing the need to iterate quickly and prototype new features. Collaborate with cross-functional stakeholders, including Product, UX, and Modeling teams. Key Qualifications: Proficiency in mobile development (Android and/or iOS). Proven track record in developing and launching user-facing features. Demonstrated full-stack capabilities, encompassing both mobile client and application server development. Strong aptitude for system design. Strong leadership experience and collaboration skills. About You In order to set you up for success as a Front-End Software Engineer at Google DeepMind,&nbsp; we look for experienced engineers skilled in user-facing product development, encompassing mobile front-end and back-end services. You should have robust system design skills and a solid understanding of complex infrastructure. Additionally, sound judgment in foreseeing risks related to privacy, legal, and safety is essential. The following would be an advantage: If applying as an Android engineer, experience working with AGSA. A conceptual understanding of ML systems and LLM concepts. &nbsp; The US base salary range for this full-time position is between $141,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Front-end Software Engineer, Mobile, GeminiApp

Snapshot Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We're seeking experienced, self-motivated web engineers to build cutting-edge Gemini applications that will redefine AI interaction for billions. We are the driving force behind many of Google's most ambitious and impactful AI breakthroughs. This engineering role offers a unique opportunity to shape a new technological era. You'll accelerate development using the latest AI models and collaborate with AI to create high-fidelity web UIs for diverse use cases. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are seeking hands-on web engineers with a proven track record of shipping world-class web applications at scale. You are a systems-thinker experienced in tackling complex, ambiguous technical problems. You have a deep understanding of modern web technologies, architecture, and performance optimization. You possess not just exceptional coding ability, but also the product sense to influence and drive technical strategy. You are passionate about AI and knowledgeable about the newest generative tools and technologies. You take responsibility to ensure billions of users have a secure environment for AI interaction, upholding robust legal and privacy standards. You are excited by the prospect of working in a fast-paced, innovation-driven environment and are a natural collaborator who can inspire and influence across disciplines. You are not just looking for your next job; you are looking for a defining moment in your career. About You In order to set you up for success as a Front-end Engineer at Google DeepMind, we look for the following skills and experience: Proficiency in web front-end development. Proven track record in developing and successfully launching user-facing features. Experienced full-stack engineers skilled in user-facing product development, encompassing web front-end and back-end services. Demonstrated ability in robust system design and understanding of complex infrastructure. Sound judgment in foreseeing risks related to privacy, legal matters, marketing, public relations, and safety is essential. In addition, the following would be an advantage:&nbsp; Web infrastructure development Performance and latency optimization &nbsp; The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Front-End Software Engineer, Web, GeminiApp

About the Team The Gemini App team is building the future of conversational AI. Our goal is to bring helpful, high-quality, and innovative experiences to users around the world. As we continue to expand our reach, we need a strategic and hands-on leader to drive our Go-to-Market efforts. The Role As the GTM Lead for the Gemini App, you will be responsible for shaping our growth strategy and executing large-scale initiatives to bring the app to more users. You will develop a strategic framework for growth and use it to guide resource allocation across multiple channels, including partnerships, marketing, and product integrations. This is a highly cross-functional role that requires a blend of strategic thinking, business acumen, and strong execution skills. Responsibilities Strategic Planning: Drive a comprehensive growth framework for the Gemini App, evaluating and prioritizing Go-to-Market levers such as strategic partnerships, brand and performance marketing, and owned-and-operated (O&amp;O) product integrations. Resource Allocation: Use the developed framework to make data-driven decisions on resource allocation (e.g., TPU compute, OpEx, and headcount) to maximize growth and return on investment. Partnership Management: Evaluate and prioritize diverse partnership opportunities (e.g., OEMs, carriers, mobile app developers, and vertical partners), working closely with Business Development teams to negotiate and secure optimal outcomes. Marketing Strategy: Partner with marketing teams to guide the optimal allocation of funding and resources across various marketing channels and regions. GTM Execution: Lead the end-to-end execution of key Go-to-Market efforts, such as the Students EFT (early feedback trial) or a major carrier partnership, by coordinating with cross-functional and cross-product area teams. Android Ecosystem Lead: Take ownership of Android OEM Go-to-Market efforts, serving as the central point of coordination across Gemini App and Android Product, Business Development, and Marketing teams. Team Leadership: Lead and mentor a Go-to-Market Program Management (PGM) team to ensure flawless execution of key GTM efforts and major moments, such as Google I/O or Mobile World Congress (MWC). Minimum Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience in product management, strategy, management consulting, or a related field within the technology industry. Experience in Go-to-Market strategy and execution for a consumer product. Experience leading and influencing cross-functional teams. Preferred Qualifications Experience in AI or machine learning products. Experience in a B2C mobile application Go-to-Market role. Experience working with international markets and global teams. Experience managing and developing a team of program managers or strategists. &nbsp; The US base salary range for this full-time position is between 214,000 USD - 302,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Go-to-Market (GTM) Lead, GeminiApp

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an opportunity to join DeepMind’s Gemini App team where you will define and lead the product vision for how users interact with AI, strategically integrating cutting-edge AI capabilities amidst a rapidly evolving technological landscape. More specifically, you will be responsible for improving tool use in the Gemini app and expanding to new partners. This role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. By leveraging cutting-edge large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches. This role offers the opportunity to make a profound impact by creating an AI experience that deeply understands and supports individual user needs and ambitions. This is especially critical as product-market fit for novel LLM-powered experiences is still emerging, requiring keen insight to translate subtle user needs into intuitive AI solutions. You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI. If you're excited about shaping the future of human-AI interaction and developing innovative products that seamlessly integrate into users' daily lives, this is your chance to be at the forefront of this transformative field. Key responsibilities: Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviors to deliver impactful product improvements Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organizational goals and user needs through clear communication and strategic narratives Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance in a rapidly paced AI landscape Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities. Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction About You In order to set you up for success as a Product Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch. Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG). Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams. Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements. Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviors, and adapting strategies decisively Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy In addition, the following would be an advantage:&nbsp; Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development The US base salary range for this full-time position is between $227,000 - $320,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Friday, September 12, 2025&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Group Product Manager, Gemini App Automation

Snapshot: As a Product Manager for Gemini Robotics, you’ll help to drive the evolution, quality, and performance of our Gemini models specifically for advanced robotics use cases. You'll work both with our Robotics research teams and with our core Gemini AI Model teams, ensuring our models not only achieve exceptional quality but are also optimized to empower intelligent, autonomous robotic systems.&nbsp; &nbsp; About Us: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. &nbsp; The Role In this role you will be instrumental in defining and executing the product strategy that enhances the performance and capabilities of our Gemini powered robotic systems. You'll be the key liaison between our Robotics engineering teams and the core Gemini AI Model development teams, ensuring a cohesive and effective approach to model integration and optimization. Your core responsibilities will include: Product Strategy &amp; Roadmap: Define the product vision, strategy, and roadmap for Gemini model quality improvements and optimizations specifically tailored for robotics applications.Cross-Functional Leadership: Partner closely with the core Gemini AI Model team to influence their roadmap and ensure that model development considers the unique requirements and constraints of robotic systems.Requirements Definition: Translate complex AI model performance and robotics system needs into clear, actionable product requirements and specifications for engineering and research teams.Stakeholder Communication: Effectively communicate product plans, progress, and challenges to a wide range of stakeholders, including executive leadership and Research teams.Market &amp; User Understanding: Develop a deep understanding of the robotics landscape and AI advancements. Candidate Qualifications In order to set you up for success as Product Manager at Google DeepMind, we look for the following skills and experience: Masters degree in Machine Learning &nbsp;5+ years of product management experience, with a significant focus on AI/ML products or platforms. In addition, the following would be an advantage:&nbsp; Demonstrated experience working with complex AI models, including understanding of model training, evaluation, and deployment challenges. Proven ability to define product strategy, roadmaps, and requirements for technical products. Excellent communication, interpersonal, and leadership skills with the ability to influence cross-functional teams and stakeholders. Experience specifically with AI models used in robotics, autonomous systems, or other real-world embodied AI applications. A strong passion for robotics and a vision for how AI can revolutionize the field. &nbsp; The US base salary range for this full-time position is between $227,000 - $320,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: Tuesday August 26, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.isted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position. &nbsp;&nbsp; At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Group Product Manager, Gemini Robotics

Snapshot We're looking for an Internal Communications Lead to drive impactful communications within our groundbreaking GenAI unit. You'll craft compelling narratives, elevate product launches and research breakthroughs, and foster engagement across a diverse global audience. This is a pivotal role for a creative and agile communications expert passionate about AI and technology. About Us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We currently have an exciting opportunity for an Internal Communications Head to join the team, providing dedicated support to the GenAI unit. You will play a critical role in supporting and delivering the internal communications strategy for the GenAI unit, working closely with the IC Head of Units to ensure alignment with high-impact global campaigns and the broader Google DeepMind IC strategy. You will lead on analytics and audience analysis specific to the GenAI unit, identify opportunities for innovative engagement, and help elevate key GenAI developments and product launches to ensure they receive appropriate focus within the wider IC strategy. Key Responsibilities Trusted Advisor: Partner with leaders and managers at all levels within GenAI to advise on their approach to internal communications, acting as a trusted specialist who can offer both strategic counsel and hands-on practical help. Provide strong executive comms support to the Unit Head.&nbsp; Strategic Execution &amp; Alignment: Partner closely with various leads in GenAI and collaborate with the Head of Units and broader Google Deep Mind Internal Communications team to execute a comprehensive internal communication strategy that builds awareness of and excitement about our mission, research, products, and values within the GenAI unit and across the organization. Cross-Functional Partnership: Work effectively with internal stakeholders across GenAI, Google DeepMind and Google to deliver impactful global, cross-company campaigns, ensuring the GenAI unit's contributions are integrated and amplified. Audience-Centric Communication: Devise and implement creative strategies for communicating to employees across different areas of the GenAI organization, taking into account the needs of diverse global audiences and working to cut through the noise. Content Excellence: Create exceptional and creative content for internal channels and platforms, expertly writing, editing, and improving copy to resonate effectively with the GenAI audience. Data-Driven Insights: Utilize audience insights to inform content planning, analyze trends within GenAI communications, identify lessons learned, and proactively propose strategic recommendations for continuous improvements, contributing to overall IC metrics. Elevating GenAI Innovations: Actively identify and elevate exciting work from within the GenAI unit, including significant product launches and research breakthroughs, to the Head of Units and broader IC team to ensure they are effectively raised up into the strategic communications agenda. About You You will need to be an experienced internal communications professional, adept at advising on strategies at a senior leadership level. In addition, you'll have: Executive Partnership: Significant experience advising senior leadership on internal communications and engagement, partnering with them to influence, provide counsel, and offer communications support, particularly within technical or product-focused domains. Technical Translation: Proven experience working in highly technical environments and translating complex research-led innovations into compelling, accessible, and product-focused communications. Organizational Navigation: Experience partnering across a highly-matrixed organization with multiple stakeholders, demonstrating the ability to both architect compelling strategies and ideas, while also rolling up your sleeves and diving into day-to-day activities to ensure execution. Editorial &amp; Campaign Expertise: Strong experience working in an editorial capacity and on multi-channel campaigns within a dynamic communications team. Engagement Strategy: Experienced in developing and executing engagement strategies, content creation, and planning, with a strong understanding of the AI research and/or tech product landscape. Agility &amp; Resilience: The ability to manage multiple priorities and requirements effectively, prioritizing and ensuring delivery of key results. You'll work at speed as part of a team and be happy to provide practical help to get things done, reacting quickly and effectively to challenges with resilience to change. Strategic Linkage: Strong experience in internal communications, with an ability to "connect the dots" between various areas of work within GenAI and across units, to convey the broader relevance of this work to Google DeepMinders. Metrics &amp; Innovation: Experience using metrics to accurately measure and evaluate the impact of internal communications and make data-driven adjustments as needed. A proven track record of bringing creativity and/or focus to communications campaigns to ensure the most important messages are heard. Industry Acumen: Good domain knowledge and experience of the broader tech sector – global trends, challenges, and opportunities – and a keen interest in tech, science, AI, and social impact. Foundational Experience: Previous communications experience is a must. Previous experience working with AI or product teams is strongly preferred. Global Collaboration: Comfortable working across various time zones (MTV, NYC, and LON), business units, and organizations. Accountability &amp; Drive: Strong accountability and leadership skills, coupled with creativity and innovation in delivering messages and encouraging teams to infuse creativity into their IC efforts. The US base salary range for this full-time position is between $165,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Internal Communications - Unit Head, GenAI

Snapshot We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google &amp; top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product &amp; business impact, and develop strong relationships with research teams. About us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role This role requires a strong machine learning foundation and a passion for building and iterating on software products. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code &amp; guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up. Key responsibilities Lead a team in the design and development of scalable software applications leveraging generative AI models. Guide the team in rapidly developing new features and iterating based on evaluation results. Collaborate with researchers and product managers to translate research advancements into tangible product features. Oversee the optimization of software performance and ensure the reliability of deployed applications. Champion the development of best practices for building and deploying generative AI applications. Lead the architecture and development of new products &amp; features from 0 to 1. Mentor and develop team members, fostering a collaborative and high-performing environment. Partner with PM team to qualify &amp; size new project opportunities. About you In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience: Required Skills Bachelor’s degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Proven experience managing software engineering teams. Strong software engineering skills; proficiency in Python. Proven experience in developing and shipping software products rapidly. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure). Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc. Ability to work in a fast-paced environment and adapt to changing priorities. Excellent communication, collaboration, and leadership skills. Preferred Skills Experience with generative AI research or applications. Contributions to open-source projects. Experience with front-end development. Experience working in, or founding early-stage startups. Experience delivering software solutions in a fast-paced, customer-facing environment. If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply! The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. &nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Manager, Applied AI Engineering

Snapshot: Our team is part of Google DeepMind and is focused on improving Gemini models for agentic capabilities such as Deep Research. We work on planning, reasoning, tool use and writing quality. Our team is composed of a mix of software engineers and research scientists who work closely to improve models and products. Our team launched Deep Research creating a new product category that found significant traction. The team works on constantly improving Deep Research and adding meaningful features to delight our users. The team has also contributed significantly in improving Gemini’s web browsing capabilities. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role: Join our Deep Research team and revolutionize how research is conducted. As an Applied ML Software Engineer, you will harness the power of Gemini models to build the most advanced and reliable research agent on the market. You will be responsible for: Designing Intelligent Agents: Create and implement sophisticated agentic workflows that allow our models to intelligently use tools and data to solve complex problems. Pragmatic System Design: Make critical design trade-offs based on a deep understanding of model capabilities and limitations. You'll architect systems that are not just theoretically sound but are also cost-effective, reliable, and delightful for users at scale. Driving Model Improvement: Develop robust evaluation systems, autorating mechanisms, and synthetic data pipelines to ensure our models are constantly learning and improving. End-to-End Feature Ownership: Shepherd new agent capabilities from initial ideation and prompt engineering, through system design and implementation, to launch and post-launch analysis. You will be the expert on the "why" behind a feature, not just the "how." Pushing the Boundaries of LLMs: Experiment with novel post-training techniques to unlock new capabilities and efficiencies in our models. Elevating the Team: Mentor and guide fellow team members, contributing to a culture of technical excellence and innovation. About you: You are a talented and resourceful engineer capable of applying large language models at scale; conceiving of and executing experiments to improve them; and overcoming last mile issues to launch your model into production for millions of people to use. We seek out individuals who thrive in ambiguity and have a shipping mindset, willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must. In order to set you up for success as a Machine Learning Software Engineer at Google DeepMind, we look for the following skills and experience: BS, MS or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry Experience working on software engineering projects from proof-of-concept through to implementation. Experience productionizing state-of-the-art large language and multimodal models, prompt optimization. Knowledge of LLMs, machine learning and statistics&nbsp; Experience in applying experimental ideas to applied problems Required programming languages: Python; C++ Great communication skills and interpersonal skills Experience post training large models (e.g. SFT, RL) &nbsp; The US base salary range for this full-time position is between $166,000-244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp;

ML Software Engineer, Gemini

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Partnering Lead within our Foundational Research Unit, you'll be a pivotal force in shaping the future of AI.&nbsp; You'll provide strategic direction and lead critical change management initiatives across a complex, global organization. You will proactively design and implement cutting-edge people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results. This role also involves leading cross-functional People &amp; Culture deliverables, ensuring seamless alignment on complex projects. In close partnership with multiple Directors and VPs, you will architect and co-deliver a visionary People Plan. This requires a delicate balance of ambitious business objectives and grounded People &amp; Culture strategies, always in line with relevant policies and legislation. You'll oversee the execution of this plan, leveraging People data to inform strategic decisions and maintaining a keen awareness of external talent markets to proactively identify workforce risks and trends. Harnessing your deep understanding of organizational psychology, you will expertly design for and navigate complex change. You will be the go-to expert across all People &amp; Culture topics, bringing invaluable insights to Unit Leads/VPs and representing your client unit within critical People &amp; Culture leadership decisions. When required, you will be the trusted voice of your partnered leaders, acting as influential communicators and strategic advisors. Line management will frequently be a component of this role, so the expectations for a GDM Manager will also apply. Key responsibilities: Drive Business Strategy and Outcomes: You will be a strategic architect, leveraging a profound understanding of our organization's operational, financial, and people components to craft and implement workforce solutions that empower the GenAI Function to achieve its audacious strategy, outcomes, and unparalleled growth. Leadership Partnership: Directly partner with multiple VPs and senior leaders, not just as an advisor, but as a co-creator, to design and implement their visionary people plan. This requires: Effective and Trusted Partnership: Provide incisive strategic guidance, translating complex organizational requirements into proactive, future-forward people and culture strategies. Leadership Effectiveness: Beyond assessment, you'll develop actionable plans and drive tangible results to address gaps in leadership and team effectiveness. You will coach and advise leaders both individually and as cohesive teams, fostering their growth. Masterful Collaboration: You'll thrive on addressing undefined and ambiguous problems, relentlessly researching and assessing varied approaches, and boldly leveraging new ideas to carve innovative paths forward. Creative Problem Solving: You won't just adapt to change; you'll lead it, implementing innovative and meticulously considered solutions in a rapidly evolving and often ambiguous environment. A Data-Driven Approach: Your recommendations and implemented changes will be grounded in robust data and insightful research, ensuring maximum impact. Change Agent: You will be a catalyst for transformation, influencing critical strategies and initiatives to optimize the symbiotic alignment between our people and our ambitious business objectives. People Partnering Leadership: You will inspire and guide multiple team members to expertly manage complex issues and forge shared, impactful solutions. You'll be a champion for best practices in HR, talent planning, and organizational design, elevating our collective capabilities. About You In order to set you up for success as a People Partner at Google DeepMind,&nbsp; we look for the following skills and experience: An accomplished HR leader with extensive experience, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies. A seasoned thought partner who has cultivated deep, trusting 1:1 relationships with executives, enabling you to effectively influence critical decision-making. A master of navigating organizational complexity, who not only enjoys but thrives in changeable environments where you can unleash your creativity and implement innovative ideas. Passionate about coaching and developing individuals, empowering them to achieve their personal best and fostering a supportive environment where everyone can flourish. Equipped with deep working knowledge across all HR functions, including organizational design, learning and development, and reward and performance, and adept at translating this expertise into strategic guidance for leaders. Possessing an exceptional understanding of human behavior, coupled with a profound understanding of self. Remarkably versatile, able to tackle any challenge, and tenacious in seeking out answers when they aren't immediately apparent. Flexible and ready to travel as needed to offices in North America or EMEA, and comfortable occasionally working across different time zones to support our global mission. Seeking a truly career-defining role, ready to commit to this long-term mission, and eager for the chance to create a real, lasting difference &nbsp; In addition, the following would be an advantage:&nbsp; Some experience with post-merger integration and culture change. Experience working within AI or a product organization, and/or working within Alphabet. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy &nbsp;

P&C Partnering Lead ( 12 Month Fixed Term Contract )

Snapshot At Google DeepMind, we're not just building AI; we're shaping the future of humanity. Our scientific breakthroughs are a direct result of the brilliant, diverse minds we bring together. As part of our People &amp; Culture team, you'll be at the heart of this mission, nurturing a world-class environment where everyone's expertise is celebrated, and continuous learning is a way of life. We empower our people to be exceptional leaders, managers, and collaborators, because we believe the best AI is built by the best teams. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a People &amp; Culture (P&amp;C) Partner within our dedicated GeminiApp Unit, you'll be a pivotal force in shaping the future of AI, where we’re building the most personal, proactive and powerful universal assistant. Working alongside the GeminiApp P&amp;C team, you will collaborate directly with GeminiApp senior leaders to cultivate healthy, high-performing teams. &nbsp; You'll deeply understand the business, provide strategic direction and coaching and lead change management initiatives across a dynamic, global organization. You will proactively design and implement creative people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational and product goals, delivering measurable, impactful results.&nbsp; Key responsibilities Driving business strategy and outcomes - deeply understand the organization’s product, business and goals, and drive people strategies and tactics to support it Delivering high impact solutions to challenges including organization design and leadership capability, ensuring alignment with strategic goals Partnering with and coaching senior leaders to develop their skills and improve team and organizational performance Acting with confidence and strong judgement in an inspiring and fast paced environment, instilling trust in everyone you interact with, and delivering thoughtful, bespoke and creative solutions Being proactive and adaptable, anticipating and addressing challenges before they arise Utilizing a data driven approach to partnering &nbsp; About You In order to set you up for success as a People &amp; Culture Partner at Google DeepMind,&nbsp; we look for the following skills and experience: You have substantial experience operating as an HR professional, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies. You thrive in a dynamic environment and possess the ability to lead and manage multiple complex projects simultaneously, while effectively prioritizing and delegating tasks. You seamlessly transition between strategic planning and hands-on execution, demonstrating a strong understanding of both the operational and strategic aspects of HR. You possess an outstanding understanding of human behavior including a strong understanding of self. You are a seasoned thought partner who has cultivated deep, trusting 1:1 relationships with senior leaders, enabling you to effectively influence decisions. You are extremely organized, you are used to working at a very quick pace and balancing many different tasks. You are proactive and see what needs to be done. You can effectively navigate ambiguity and enjoy changeable environments where you can implement creative and innovative ideas. You are a strategic thinker with a passion for driving organizational success and fostering a culture of excellence. You are looking for a career defining role in a mission-driven and pioneering organization. In addition, the following would be an advantage: Experience within a fast-paced, technology-driven environment Experience working within AI or a product organization, and/or working within Alphabet The US base salary range for this full-time position is between $156,000 - $246,000 + bonus + benefits.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

People & Culture Partner, GeminiApp ( 12 Month Fixed Term Contract )

Snapshot&nbsp; At Google DeepMind, we're not just building AI; we're shaping the future of humanity. Our scientific breakthroughs are a direct result of the brilliant, diverse minds we bring together. As part of our People &amp; Culture team, you'll be at the heart of this mission, nurturing a world-class environment where everyone's expertise is celebrated, and continuous learning is a way of life. We empower our people to be exceptional leaders, managers, and collaborators, because we believe the best AI is built by the best teams. About Us&nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As a senior People Partner within our dedicated GenAI Unit, you'll be a pivotal force in shaping the future of AI. This isn't just an HR role; it's a strategic partnership at the forefront of innovation. Working alongside a small, elite team, you will collaborate directly with GenAI leaders to cultivate healthy, high-performing teams.You'll provide strategic direction and lead critical change management initiatives across a complex, global organization. You will proactively design and implement cutting-edge people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results. This role also involves leading cross-functional People &amp; Culture deliverables, ensuring seamless alignment on complex projects.In close partnership with multiple VPs, you will architect and co-deliver a visionary People Plan. This requires a delicate balance of ambitious business objectives and grounded People &amp; Culture strategies, always in line with relevant policies and legislation. You'll oversee the execution of this plan, leveraging People data to inform strategic decisions and maintaining a keen awareness of external talent markets to proactively identify workforce risks and trends.Harnessing your deep understanding of organizational psychology, you will expertly design for and navigate complex change. You will be the go-to expert across all People &amp; Culture topics, bringing invaluable insights to Unit Leads/VPs and representing your client unit within critical People &amp; Culture leadership decisions. When required, you will be the trusted voice of your partnered leaders, acting as influential communicators and strategic advisors. Line management will frequently be a component of this role, so the expectations for a GDM Manager will also apply. Key responsibilities Drive Business Strategy and Outcomes: You will be a strategic architect, leveraging a profound understanding of our organization's operational, financial, and people components to craft and implement workforce solutions that empower the GenAI Function to achieve its audacious strategy, outcomes, and unparalleled growth. Leadership Partnership: Directly partner with multiple VPs and senior leaders, not just as an advisor, but as a co-creator, to design and implement their visionary people plan. This requires:&nbsp; Effective and Trusted Partnership: Provide incisive strategic guidance, translating complex organizational requirements into proactive, future-forward people and culture strategies. Leadership Effectiveness: Beyond assessment, you'll develop actionable plans and drive tangible results to address gaps in leadership and team effectiveness. You will coach and advise leaders both individually and as cohesive teams, fostering their growth. Masterful Collaboration: You'll thrive on addressing undefined and ambiguous problems, relentlessly researching and assessing varied approaches, and boldly leveraging new ideas to carve innovative paths forward. Creative Problem Solving: You won't just adapt to change; you'll lead it, implementing innovative and meticulously considered solutions in a rapidly evolving and often ambiguous environment. A Data-Driven Approach: Your recommendations and implemented changes will be grounded in robust data and insightful research, ensuring maximum impact. Change Agent: You will be a catalyst for transformation, influencing critical strategies and initiatives to optimize the symbiotic alignment between our people and our ambitious business objectives. People Partnering Leadership: You will inspire and guide multiple teams to expertly manage complex issues and forge shared, impactful solutions. You'll be a champion for best practices in HR, talent planning, and organizational design, elevating our collective capabilities. About you In order to set you up for success as a People Partner at Google DeepMind, &nbsp;we look for the following skills and experience: An accomplished HR leader with extensive experience, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies. A seasoned thought partner who has cultivated deep, trusting 1:1 relationships with executives, enabling you to effectively influence critical decision-making. A master of navigating organizational complexity, who not only enjoys but thrives in changeable environments where you can unleash your creativity and implement innovative ideas. Passionate about coaching and developing individuals, empowering them to achieve their personal best and fostering a supportive environment where everyone can flourish. Equipped with deep working knowledge across all HR functions, including organizational design, learning and development, and reward and performance, and adept at translating this expertise into strategic guidance for leaders. Possessing an exceptional understanding of human behavior, coupled with a profound understanding of self. Remarkably versatile, able to tackle any challenge, and tenacious in seeking out answers when they aren't immediately apparent. Flexible and ready to travel as needed to offices in North America or EMEA, and comfortable occasionally working across different time zones to support our global mission. Seeking a truly career-defining role, ready to commit to this long-term mission, and eager for the chance to create a real, lasting difference In addition, the following would be an advantage:&nbsp; Some experience with post-merger integration and culture change. Experience working within AI or a product organization, and/or working within Alphabet. The US base salary range for this full-time position is between $202,000 - $299,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Please note, the location for this role is New York, USA (with travel as needed to North America or EMEA offices and occasional work across different time zones). Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

People & Culture Partner, GenAI

About us Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Snapshot The People &amp; Culture (P&amp;C) Experience &amp; Delivery Partner team provides responsive day to day P&amp;C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P&amp;C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P&amp;C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People &amp; Culture teams, including GDM P&amp;C Partners, to deliver a world-class employee experience.&nbsp; We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role. &nbsp; The Role This role is embedded in our People Operations team, which sits within the wider People and Culture (P&amp;C) team, and reports to a P&amp;C Experience &amp; Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P&amp;C Partners within specific locations and Units.&nbsp; Key responsibilities: Dynamic Coaching &amp; Advisor Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P&amp;C topics including performance management, development, employee lifecycle processes, policy exceptions. Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict. Contribute to the development and delivery of scalable solutions to build Manager capability. The trusted advisor for people policies, practices, and legislation in a specific location, supporting a wider range of complex challenges while mitigating risks.&nbsp; Provide coaching and mentorship to more junior team members on complex issues e.g. providing guidance on difficult conversations, performance improvement plans. In partnership with P&amp;C Partners and relevant P&amp;C Centres of Excellence (CoEs), support the scoping, design, and delivery of training programs to build P&amp;C, Leader and Manager capabilities on relevant topics, specialising in areas where location-specific nuances are critical (e.g. employment law, cultural sensitivity). Identify and make recommendations about how to address systemic issues affecting wellbeing and performance within specific locations e.g. conducting org assessments, analysing trends, and recommending initiatives. &nbsp; Operational Excellence Execute and deliver P&amp;C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams. Partner with P&amp;C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P&amp;C Strategy. Independently manage employee lifecycle process e.g. Exits and Flexible working Identify the need for, and take responsibility for driving,&nbsp; process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues. The go-to-person within the PXD team for delivery of a cyclical process, overseeing delivery to a high standard, and ensuring that process changes are well understood.&nbsp; Oversee delivery of process improvements, ensuring alignment with regional employment laws and cultural norms. This could involve collaborating with other teams cross-functionally to streamline workflows and improve the overall employee experience. Advise and guide others through ways of working, tools, or process improvements. &nbsp; Employee Experience Insights Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.&nbsp; Conduct in-depth analysis of employee data, including engagement surveys, exit interviews, and performance reviews, to identify location-specific trends and develop targeted initiatives in partnership with CoEs and P&amp;C Partners. Serve as a subject matter expert on employee experience within the relevant region, providing insights and recommendations to P&amp;C&nbsp; colleagues. About You In order to set you up for success as a People Experience &amp; Delivery Partner at Google DeepMind,&nbsp; we look for the following skills and experience: Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P&amp;C policies, trends, and best practices. You share your insights with others in your team and across P&amp;C. Subject matter expertise: You are quick to develop a solid understanding of different business contexts and challenges, enabling smooth transitions into new areas. Communication &amp; interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences. Critical thinking &amp; problem-solving: You apply analytical and problem-solving skills to complex organizational challenges. You conduct thorough research, gather and interpret data, identify root causes, and develop innovative and effective solutions.&nbsp; &nbsp; In addition, the following would be an advantage:&nbsp; Experience in working with global teams and navigating cultural differences. Experience in designing and delivering training programs, and process design. Experience in using data to drive HR decisions. Knowledge of HR trends and best practices. A degree or professional certification in Human Resources Management or a related field Closing Date: 29th August 2025 Salary Band for the Role: 137,000 USD - 201,000 USD &nbsp; &nbsp; &nbsp;

People Experience & Delivery Partner (L5) , US

Snapshot&nbsp; At Google DeepMind, we're not just building AI; we're shaping the future of humanity. Our scientific breakthroughs are a direct result of the brilliant, diverse minds we bring together. As part of our People &amp; Culture team, you'll be at the heart of this mission, nurturing a world-class environment where everyone's expertise is celebrated, and continuous learning is a way of life. We empower our people to be exceptional leaders, managers, and collaborators, because we believe the best AI is built by the best teams. About Us&nbsp; Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As a senior People Partner within our dedicated GenAI Unit, you'll be a pivotal force in shaping the future of AI. This isn't just an HR role; it's a strategic partnership at the forefront of innovation. Working alongside a small, elite team, you will collaborate directly with GenAI leaders to cultivate healthy, high-performing teams.You'll provide strategic direction and lead critical change management initiatives across a complex, global organization. You will proactively design and implement cutting-edge people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results. This role also involves leading cross-functional People &amp; Culture deliverables, ensuring seamless alignment on complex projects.In close partnership with multiple VPs, you will architect and co-deliver a visionary People Plan. This requires a delicate balance of ambitious business objectives and grounded People &amp; Culture strategies, always in line with relevant policies and legislation. You'll oversee the execution of this plan, leveraging People data to inform strategic decisions and maintaining a keen awareness of external talent markets to proactively identify workforce risks and trends.Harnessing your deep understanding of organizational psychology, you will expertly design for and navigate complex change. You will be the go-to expert across all People &amp; Culture topics, bringing invaluable insights to Unit Leads/VPs and representing your client unit within critical People &amp; Culture leadership decisions. When required, you will be the trusted voice of your partnered leaders, acting as influential communicators and strategic advisors. Line management will frequently be a component of this role, so the expectations for a GDM Manager will also apply. Key responsibilities Drive Business Strategy and Outcomes: You will be a strategic architect, leveraging a profound understanding of our organization's operational, financial, and people components to craft and implement workforce solutions that empower the GenAI Function to achieve its audacious strategy, outcomes, and unparalleled growth. Leadership Partnership: Directly partner with multiple VPs and senior leaders, not just as an advisor, but as a co-creator, to design and implement their visionary people plan. This requires:&nbsp; Effective and Trusted Partnership: Provide incisive strategic guidance, translating complex organizational requirements into proactive, future-forward people and culture strategies. Leadership Effectiveness: Beyond assessment, you'll develop actionable plans and drive tangible results to address gaps in leadership and team effectiveness. You will coach and advise leaders both individually and as cohesive teams, fostering their growth. Masterful Collaboration: You'll thrive on addressing undefined and ambiguous problems, relentlessly researching and assessing varied approaches, and boldly leveraging new ideas to carve innovative paths forward. Creative Problem Solving: You won't just adapt to change; you'll lead it, implementing innovative and meticulously considered solutions in a rapidly evolving and often ambiguous environment. A Data-Driven Approach: Your recommendations and implemented changes will be grounded in robust data and insightful research, ensuring maximum impact. Change Agent: You will be a catalyst for transformation, influencing critical strategies and initiatives to optimize the symbiotic alignment between our people and our ambitious business objectives. People Partnering Leadership: You will inspire and guide multiple teams to expertly manage complex issues and forge shared, impactful solutions. You'll be a champion for best practices in HR, talent planning, and organizational design, elevating our collective capabilities. About you In order to set you up for success as a People Partner at Google DeepMind, &nbsp;we look for the following skills and experience: An accomplished HR leader with extensive experience, ideally spanning both agile, scaling businesses and larger, complex, matrixed companies. A seasoned thought partner who has cultivated deep, trusting 1:1 relationships with executives, enabling you to effectively influence critical decision-making. A master of navigating organizational complexity, who not only enjoys but thrives in changeable environments where you can unleash your creativity and implement innovative ideas. Passionate about coaching and developing individuals, empowering them to achieve their personal best and fostering a supportive environment where everyone can flourish. Equipped with deep working knowledge across all HR functions, including organizational design, learning and development, and reward and performance, and adept at translating this expertise into strategic guidance for leaders. Possessing an exceptional understanding of human behavior, coupled with a profound understanding of self. Remarkably versatile, able to tackle any challenge, and tenacious in seeking out answers when they aren't immediately apparent. Flexible and ready to travel as needed to offices in North America or EMEA, and comfortable occasionally working across different time zones to support our global mission. Seeking a truly career-defining role, ready to commit to this long-term mission, and eager for the chance to create a real, lasting difference In addition, the following would be an advantage:&nbsp; Some experience with post-merger integration and culture change. Experience working within AI or a product organization, and/or working within Alphabet. The US base salary range for this full-time position is between $202,000 - $299,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Please note, the location for this role is&nbsp;Mountain View, USA (with travel as needed to North America or EMEA offices and occasional work across different time zones). Application deadline: 15th August, 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;

People Partner, GenAI

Snapshot The Google DeepMind Legal team provides proactive and strategic legal counseling to accelerate Google DeepMind’s best-in-class technologies. We are looking for an adept and enthusiastic Product Counsel to work closely with the Google DeepMind product, engineering and cross-functional teams in order to advise on a variety of legal issues relevant to their work.&nbsp; You will collaborate closely with Google DeepMind product and research teams, other members of the legal team, compliance teams, and with outside counsel when needed to address global privacy and regulatory issues arising from cutting-edge consumer product launches. We also help product teams prepare for upcoming global laws and regulations, and provide support on regulatory investigations.&nbsp; About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We have a product counsel role available focused on product, privacy, and regulatory counseling across Google Gemini. As a product counsel you will play a key role in counseling high-risk product launches globally, implicating cutting-edge AI, machine-learning, privacy, content, copyright, and competition legal issues. You will help build solutions to successfully land product launches globally. You will work closely with key stakeholders across Global Affairs and the wider company to prepare and comply with existing and upcoming global laws. Responsibilities: Provide front-line individual product, privacy and regulatory counseling for various consumer product launches across Gemini apps. Build risk-calibrated solutions to help products comply with existing and upcoming global laws.&nbsp;&nbsp; Lead and support various cross-functional and other projects as needed, including regulatory investigations.&nbsp; Cultivate strong relationships with business and product leaders across Google DeepMind and Gemini teams to identify balanced strategy and solutions for business and legal risks. About You In order to set you up for success as at Google DeepMind, we look for the following skills and experience: Qualified to practice law in a recognized jurisdiction. Qualification in the UK, US, or another major common or civil law jurisdiction is preferred. Knowledge and experience working with global content, privacy and security, consumer protection, copyright, and competition laws Ability to be flexible in a fast-paced environment with limited direction, balance competing priorities, and manage several time-sensitive projects at once Ability to apply Google’s risk principles and make risk calls with imperfect information Understanding of technology (Internet, Hardware, Software, ML) Sense of humor and love of technology Location: London (other major GDM locations may be considered) Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Product Counsel

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an opportunity to join DeepMind’s Gemini App team where you will define and lead the product vision for how users interact with AI, strategically integrating cutting-edge AI capabilities amidst a rapidly evolving technological landscape. Deep Research is an agentic feature in Gemini that can automatically browse up to hundreds of websites on your behalf, think through its findings, and create insightful multi-page reports in minutes. Join the team that launched Deep Research and has contributed significantly in improving Gemini’s agentic and web browsing capabilities. This role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. By leveraging cutting-edge large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches. This role offers the opportunity to make a profound impact by creating an AI experience that deeply understands and supports individual user needs and ambitions. This is especially critical as product-market fit for novel LLM-powered experiences is still emerging, requiring keen insight to translate subtle user needs into intuitive AI solutions. You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI. If you're excited about shaping the future of human-AI interaction and developing innovative products that seamlessly integrate into users' daily lives, this is your chance to be at the forefront of this transformative field. Key responsibilities: Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviors to deliver impactful product improvements Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organizational goals and user needs through clear communication and strategic narratives Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance in a rapidly paced AI landscape Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities. Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction About You In order to set you up for success as a Product Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch. Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG). Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams. Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements. Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviors, and adapting strategies decisively Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy In addition, the following would be an advantage:&nbsp; Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development The US base salary range for this full-time position is between $227,000 - $320,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline:&nbsp; Friday, September 19, 2025&nbsp; Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Product Manager, Gemini App Automation - Deep Research

About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is an opportunity to join the Gemini App team for devices, bringing Gemini to experiences on XR glasses, smartwatches, cars, headphones, and more!. You'll define and lead the product vision for how users interact with AI across a diverse and rapidly expanding ecosystem of hardware, strategically integrating cutting-edge AI capabilities directly into users' daily lives. This role requires someone who is comfortable driving innovation in a space where foundational AI technologies and user needs are co-evolving rapidly. By leveraging cutting-edge large language models (LLMs), you will contribute to the advancement of generative AI technologies, enabling them to serve as intelligent assistants, researchers, collaborators, and coaches on the go. We're already seeing the profound impact Gemini is having on device experiences, with recent launches and announcements including: "Gemini on the Galaxy Watch 8 Made Me a Believer": https://www.cnet.com/videos/gemini-on-the-galaxy-watch-8-made-me-a-believer/ "Gemini in cars might be the most impressive AI integration yet": https://9to5google.com/2025/05/28/gemini-in-cars/ "I just tried Google’s smart glasses built on Android XR — and Gemini is the killer feature": https://www.tomsguide.com/computing/smart-glasses/i-just-tried-googles-smart-glasses-built-on-android-xr-and-gemini-is-the-killer-feature This role offers the opportunity to make a profound impact by creating an AI experience that deeply understands and supports individual user needs and ambitions, moving beyond traditional screens to deliver contextual and seamless interactions. This is especially critical as product-market fit for novel LLM-powered experiences on devices is still emerging, requiring keen insight to translate subtle user needs into intuitive, hands-free, and integrated AI solutions. You will work with a talented team passionate about pushing the boundaries of what's possible in conversational AI. If you're excited about shaping the future of human-AI interaction and developing innovative products that seamlessly integrate into users' daily lives across a multitude of devices, this is your chance to be at the forefront of this transformative field. Key responsibilities: Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs Develop and prioritize product requirements by synthesizing user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviors to deliver impactful product improvements Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organizational goals and user needs through clear communication and strategic narratives Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance in a rapidly paced AI landscape Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities. Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction About You In order to set you up for success as a Product Manager at Google DeepMind,&nbsp; we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch. Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG). Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams. Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements. Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviors, and adapting strategies decisively Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy In addition, the following would be an advantage:&nbsp; Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. &nbsp; &nbsp; &nbsp;

Research Scientist - World Modeling

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