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.

deepmind

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 As a product manager at Google DeepMind you will be responsible for shipping cutting edge AI research breakthroughs into Google’s AI models and products. As a PM on Frontier AI within GDM you will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. As the PM for Information Quality within Frontier AI, your job will be to understand the implications of generative AI on the broader societal information ecosystem. You will tackle critical challenges surrounding misinformation, advance the detection and provenance of genAI content, and analyze the shifting economics of information in a society augmented by AI. In addition to shipping robust safety and information integrity advances into our existing models, you will work closely with researchers to incubate new agentic tools designed to promote information literacy and help users navigate an increasingly complex digital world. Key responsibilities: Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust. Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies. Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content. Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future. Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products. Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust. About You In order to set you up for success as a Product Manager at DeepMind, &nbsp;we look for the following skills and experience: BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field. Deep understanding of AI models and their implications for content generation and dissemination. Demonstrated experience in building AI products rooted in trust &amp; safety, information retrieval, content provenance, or misinformation detection. A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems. Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems. Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools. Strong ability to communicate complex technical and societal concepts with great simplicity. Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads. &nbsp; The US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 3, 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 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;

Product Manager, Information Quality, Frontier AI

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 As AI agents become more capable and autonomous, they introduce an entirely new frontier of security challenges. This role is about setting the multi-year vision for the fundamental security paradigms required to ensure agents remain safe, aligned, and resilient against attack as they advance toward AGI. You will be the single-threaded product owner responsible for the strategy that addresses the full spectrum of agent-related threats, including Prompt Injection, Anti-Distillation, and other novel Threats against AI. Your scope will also include defining the product roadmap for ensuring System Integrity and developing the foundations for long-term AGI Control. The "product" is the end-to-end security posture and resilience of our agentic systems. You will own and navigate the complex trade-offs between agent capability, research velocity, and security, influencing and aligning senior leadership across Google to chart our path for deploying trustworthy agents. Key responsibilities: Define and own the multi-year vision, strategy, and roadmap for a portfolio of Agent Security initiatives. Lead the product definition and strategy to defend against a wide range of threats, including prompt injection, anti-distillation, and adversarial misuse. Define the product roadmap for long-term, scalable AGI Control, in partnership with Google’s foremost research and safety teams. Own the entire product lifecycle for Agent Security initiatives, from navigating ambiguous early-stage research to driving execution on large-scale strategic bets. Drive strategic alignment and secure buy-in from senior leadership (Director, VP, and SVP) across DeepMind and Google. Serve as a leading subject matter expert and thought leader on Agent Security within Google. Lead and influence complex, cross-functional initiatives, bridging the gap between novel research, applied engineering, and scaled product deployment. About You In order to set you up for success as a Senior Product Manager at Google DeepMind, we look for the following skills and experience: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management. Experience taking complex, technical products from initial concept to successful launch and scaled impact. Deep technical expertise in AI/ML and Cybersecurity. Proven ability to manage a portfolio of complex, multi-year strategic bets, from research to large-scale product commercialization. Experience defining novel metrics and quantitative goals for large-scale, technically complex problems. Exceptional executive communication skills; ability to simplify complex technical and security concepts for senior leadership. Demonstrated experience leading large, complex, cross-functional initiatives in highly ambiguous, zero-to-one domains. In addition, the following would be an advantage: Hands-on experience in AI Security (e.g., adversarial ML, red teaming, jailbreaking), foundational AI research, or deep systems-level security (e.g., building secure infrastructure, automated defenses). Hands-on experience in software development or engineering. A track record of influencing and driving ambitious, multi-year "moonshot" style initiatives from concept to reality. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 8, 2026 &nbsp; 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;

Senior Product Manager, Agent Security

Snapshot We are the Information Verticals team for the Gemini App, bringing search, maps, shopping and other information-related features to both the web and mobile Gemini applications. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization. We are seeking an experienced and self-motivated Software Engineer with particular expertise in quality and AI applications to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. &nbsp; About Us Within the Information Verticals team, the Shopping team is at the forefront of Google's shift towards agentic experiences. We are redefining how users discover, research, and purchase products by combining the reasoning capabilities of Gemini with the comprehensive data of the Shopping Graph. To constantly innovate, we work closely with various Google DeepMind (GDM) research units. Following a breakout year with two major launches in Q4 (launch announcement) that were well received in the press, we have established a new baseline for highly visual agentic shopping. We have one of the highest favorability &amp; retention metrics on GeminiApp have and were featured prominently in the recent "Personal Intelligence" launch (launch, Sundar tweet). This role offers the unique opportunity to make impact on a high-growth vertical that is already seeing massive traction,).&nbsp; &nbsp; The Role Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We are seeking an experienced and self-motivated Software Engineer with a passion for quality to ensure the Gemini applications deliver world-class, reliable, and personalized experiences. In this role, you will be building new features in the Gemini product, focused on shopping and other information-related verticals like search, maps &amp; news. You’ll prototype new LLM applications, design and implement evaluation metrics, collection evaluation data, analyze model responses, and conduct prompt engineering in order to ship high-quality features to our users.&nbsp; This is a rare opportunity to shape a new era of technology, accelerating development with the latest AI models and collaborating with AI to build high-fidelity user experiences. You will see your work in the hands of users frequently and quickly. As a key contributor to one of Google's top efforts for 2025, you will help shape the future of AI. &nbsp; What You'll Do Implement sophisticated LLM-powered systems, including context engineering, agentic workflows with tool use, and robust evaluation frameworks. Dive deep into model behavior, creating high-quality, diverse, and challenging evaluation datasets to identify weaknesses and guide improvements. Make improvements to the serving and evaluation infrastructure to power new features. Develop and scale evaluation solutions (auto-raters, human evals) to continuously monitor and improve the performance of LLM-powered features. Drive collaboration with cross-functional partners (Product, UX, Research) to translate user needs into intuitive and valuable features within the Gemini ecosystem. Collaborate with GenAI research teams to integrate product-driven data and evaluations to the base Gemini models. Analyze user data and model outputs to enhance the quality of personalized experiences, ensuring Gemini is helpful and relevant for every user. Champion a culture of quality, defining metrics, setting standards, and driving best practices for LLM evaluation and responsible AI development. &nbsp; About You We seek out individuals who have the skill and passion to design and build high-quality components, while simultaneously being willing to move fast and pivot when necessary. We are looking for strong and adaptable engineers who are obsessed with quality and have a deep understanding of how to measure and improve AI systems. You are a flexible problem-solver, comfortable inventing novel solutions and quickly pivoting when ideas need to change. In order to set you up for success as a Software Engineer on GeminiApp, we look for the following skills and experience: User-centric vision and passion for shipping best products to our users, with a strong track-record of shipping multiple successful consumer features. Experience working with a small team in a startup-like environment with rapidly changing priorities as product needs evolve A deep understanding of Generative AI and Large Language Models. Direct experience with building evaluation datasets, LLM evaluation techniques, human rating paradigms, or building automated raters. Proven experience in loss analysis, quality hillclimbing, prompt engineering, and optimization. Strong background in data analysis, experimental design, and statistical methods. Proficiency in Python, having experience with C++ is a plus. Excellent communication and collaboration skills, with the ability to translate complex quality issues into actionable plans for diverse, cross-functional teams. In addition, the following would be an advantage: Experience with common ML frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with user metrics logging and A/B testing for ML-powered products. Proven knowledge and experience building scalable, efficient C++ backend infrastructure components within a complex distributed system. Experience with standard Google technologies including Boq, Stubby, StreamZ, Mendel and Sawmill. &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. 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 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. For fairness reasons, Recruiters and Hiring Managers do not offer informational calls. If you are interested in learning about the role, please share a copy of your CV and a cover letter with the Recruiter listed via email (not G-Chat) and they will process your application. Please avoid reaching out to the Hiring Manager directly, as this can cause delays in processing your application.You will receive updates on the status of your application through our standard recruitment channels, and if you are shortlisted 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;

Software Engineer, GeminiApp Info Seek Quality

Snapshot The Code PM will be responsible for setting and driving a strategy for Gemini’s coding ability, with the goal of making Gemini the best models for developers both within and outside Google. 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. Key responsibilities: Lead the product strategy for Gemini’s coding abilities, by creating a cohesive roadmap for key use cases and product priorities Lead Gemini’s strategy in the development of an agent to support developers in their critical workflows Develop a strong set of evaluations for key use cases and a data strategy that encompasses quality, style, and collection approaches Drive critical model improvements for the key use cases, in partnership with the right surfaces and UX to enable Gemini adoption. Partner with the broader ecosystem to identify new features and capabilities for AI-powered code Look ahead to new &amp; emerging coding use cases, and develop solutions for these efforts About You In order to set you up for success as a Product Manager at DeepMind, &nbsp;we look for the following skills and experience: BSc or MSc in Computer Science or equivalent technical field At least 5 years of PM experience (or equivalent sets of landings) In addition, the following would be an advantage:&nbsp; Previous experience as a developer and/or personal involvement in developer communities Track record of driving launches through complex stakeholder management. Ability to deliver products that drive customer success and market leadership. Previous experience working on ML/AI products. &nbsp; The US base salary range for this full-time position is between $192,000 - $278,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: April 14, 2026 &nbsp; 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;

Senior Product Manager, Code

Snapshot Join Google DeepMind as a Senior UX Writer &amp; Content Designer on the Gemini App. This is a unique opportunity to be at the cutting edge of AI, tackling ambiguous, high-impact design challenges. You'll be instrumental in inventing novel ways to introduce the Gemini App to new global audiences and ensuring our users consistently uncover its most exciting capabilities. We're seeking an innovative content designer who thrives on pushing boundaries, experimenting with diverse strategies to expand our footprint, and driving engagement across platforms by providing meaningful value to our customers. About us 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 detail-oriented, systems-thinking content designer to partner with a cross-functional team to drive clear, engaging product experiences. As a Senior UX Writer &amp; Content Designer, you’ll lead content design of product features for the Gemini App. You'll operate as a strategic partner, collaborating cross-functionally with product designers, product managers, engineers, UX researchers, 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. &nbsp; Key responsibilities This role requires a blend of creative problem-solving, excellent writing craft, strong leadership, and a proven ability to translate complex user needs into impactful design solutions. Bring clarity to ambiguous product problems and shape them into innovative experiences that drive feature engagement within the Gemini App. Partner closely with cross-functional teams, including product designers, product managers, engineers, UX researchers, data scientists, and marketers, to define and execute product strategies. Translate complex user insights into actionable design solutions that deliver measurable value to our users. Elevate UX writing craft and champion user-centered design principles throughout the product development lifecycle.&nbsp; Evolve and execute on our vision for UX writing in a multi-modal world, including creating guidelines for voice, tone, and style.&nbsp; Help coordinate translations, improve writing tools and processes, format documents, and generally lend a hand as needed to produce world-class products. &nbsp; Minimum qualifications&nbsp; You must meet these minimum qualifications to apply for this job. Bachelor's degree in English, Communications, Journalism, Technical Writing, UX, HCI, or equivalent practical experience.&nbsp; 6 years of experience on user-focused product writing including work in hardware, software, digital agency, or other relevant product area. Experience in shaping content for multi-disciplinary projects. A portfolio of UX-focused writing samples and style guidelines. Preferred qualifications Experience working on non-standard platforms with emerging interaction modalities such as voice-driven or platform. Care deeply about user journeys and details of experience flows that can span across modalities (from voice only to visual only). Experience developing information architecture for complex product suites. Experience with localization and accessibility best practices.

Senior UX Writer & Content Designer, Gemini App

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 We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join the Gemini App Team to work on personalization. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use&nbsp; Google’s best AI models to enrich their lives and realize their potential.&nbsp; You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment. 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. Minimum Qualifications 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. Preferred Qualifications 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 $178,000 USD - $265,000 + 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.

Staff AI Product Designer, GeminiApp

Snapshot Research Engineer focused on improving Gemini’s coding and SWE-agent capabilities&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. Horizons is responsible for Gemini’s Code, Thinking, and Reasoning performance. The Role Key responsibilities:&nbsp; Design experiments and evaluations to improve Gemini’s SWE capabilities Create evaluations to measure key software engineering capabilities. Responsibilities may include creating evaluations to measure Gemini’s capabilities as a software engineer, running RL experiments to improve them, and designing novel agent harnesses &amp; agentic capabilities.&nbsp; Build infrastructure components necessary to facilitate research. Work with a cross-functional research &amp; infrastructure team. &nbsp; In order to set you up for success as a Research Engineer at Google DeepMind,&nbsp; we look for the following skills and experience:&nbsp; Requirements:&nbsp; Understanding of LLMs &amp; recent RL methodology&nbsp; Experience running ML experiments&nbsp; Experience developing LLM-based agents In addition, the following would be an advantage: Systematic thinker and engineer who find joy in traversing the full stack. Positive, gritty technologist who can overcome ambiguity and pressure to deliver what is sought by users in a short time frame. Rigorous and meticulous analyst who will want nothing but the best datasets / experiments they can curate. &nbsp; 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. The US base salary range for this full-time position is between $147,000 USD - 211,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. &nbsp; &nbsp; &nbsp;

Code Research Engineer

Snapshot Are you an experienced Data Scientist (4+ years of experience) excited to use strong technical and analytical skills to power our mission to bring the benefits of AI to the world? Join Google DeepMind’s Core Analytics Team! You will bring a data lens to strategic business problems around compute and product adoption, directly enabling our frontier efforts across the organization. This role focuses on leveraging data science techniques – particularly advanced SQL, Python, and data modeling – to drive strategic decisions and generate insights, rather than deep machine learning model development. About Us Google DeepMind: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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.Core Analytics Team: The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google DeepMind strategy &amp; decisions. To do this, we blend our technical skillset with rich stakeholder relationships. The Role We are looking for an experienced data scientist who is skilled at and motivated by translating ambiguous business problems into structured, data driven solutions. This role will build data foundations and assets, define key metrics, and make recommendations to guide strategic decisions within our compute and product domains.&nbsp; Within the compute domain, this role will specialize in compute management, exploring areas like the efficiency of our ML workloads and infrastructure, cost optimization, and capacity planning as well as handling high volume metadata from infrastructure systems. Within the product domain, this role will empower the continuous evolution of GDM's models and products by developing contextualized analysis, data infrastructure and tooling to reveal deep user insights and enable efficient, scalable operations. Key responsibilities: Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps, suggest architecture and development approaches, and meet data management standards to address complex analytical problems Data Foundations: Refine our systems, create scalable data models, and build productionized data pipelines to design and build some of the world’s most extensive data sets Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions Data Storytelling &amp; Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences through optimal data artifacts (presentations, reports, datasets, and dashboards) Leverage AI: Share knowledge, contribute to the team's analytical roadmap, and help accelerate the team through improved processes and the use of AI tools What We Can Offer You: Direct Strategic Impact: Your analysis and recommendations will directly inform critical decisions about Google DeepMind's resources and investments, influencing our ability to achieve our mission. Deep Domain Expertise: Opportunity to become a subject matter expert in the rapidly evolving and critical domains of AI compute and product. Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills. Collaborative Environment: Be part of a supportive and highly skilled data &amp; analytics group, learning from peers and contributing to a culture of analytical excellence. Unparalleled Breadth of Analytics Experience: Impact all facets of analytics and gain experience across the stack, including data modeling, pipeline development, and presenting to senior stakeholders; equipping you with a diverse skill set crucial for career advancement. About you We're looking for an experienced data scientist with at least 4 years experience working in a data role (e.g. Analytics Engineer, Data Engineer, Data Scientist or Product Data Analyst) who can translate complex business challenges into impactful data-driven solutions.Essential Skills: Advanced Data Modelling in SQL: Experience designing, building, and optimizing complex data models in SQL. You understand fundamental data modelling principles and are comfortable reasoning through design tradeoffs depending on use case. You are an advanced SQL user who is confident in solving data problems that require multiple transformation steps. Python for Data Science: Proficiency in Python and its data stack (e.g., Pandas, NumPy, Scikit-learn) for rigorous data analysis and/or statistical modeling. Experience creating clear and effective data analyses and demonstrated aptitude for quickly learning and applying AI tools to extract richer insights. Ability to write clean, testable, and maintainable Python code, following best practices. Building Scalable Data Pipelines: Experience building and maintaining pipelines to ingest, process, and transform high volumes of data using tools like DBT, Airflow, or Apache tools Communication: We deliver results by partnering closely with peers and stakeholders and are looking for someone who communicates clearly and proactively, including when: Communicating with technical audiences (e.g. software engineers). Explaining technical concepts to non technical audiences (e.g. project managers) and senior leaders. Translating stakeholder data needs into technical requirements. Agency: We are looking for self starters who will proactively build relationships, drive projects and solve problems. Project Management: Good project management skills, including communicating timelines, expectations and progress, are essential. The US base salary range for this full-time position is between 147,000 USD - 211,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. &nbsp;

Data Engineer, Core Analytics 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 Members of the team are a group of researchers with core contributions into the Gemini Audio pillar. Specifically, the team works on audio and audio-visual understanding and generation tasks using large language models. Research includes, but is not limited to, better acoustic representations and tokenizers, better generation modeling, and audio and audio-visual open-ended tasks such as dialog, TTS, question-answering and dubbing. 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 the Gemini audio pillar, such as: Key responsibilities: Data: Unlocking new audio to X 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, &nbsp;we look for the following skills and experience: PhD in Computer Science, Computer Vision, Speech Processing, or Machine Learning related field. Experience working with LLMs. Audio or video understanding and/or generation experience. In addition, the following would be an advantage:&nbsp; A proven track record of research and publications in some of the following areas: audio generation, video generation, LLMs A real passion for AI! &nbsp; The US base salary range for this full-time position is between $147,000 - $211,000 + 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, Audio

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 We’re looking for engineers and scientists to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies. Our team has a unique mandate: to work on speculative, longer-horizon research projects that, if successful, yield step-change improvements in the capabilities of our frontier models. We target paradigm-shifting ideas and are prepared to invest the time and resources necessary to achieve them. Our goal is to ideate, research, develop, validate, and integrate these improvements into major Google technologies. Our primary research focus is Gemini Diffusion, our state-of-the-art text diffusion model. We believe that text diffusion has the potential to unlock a new paradigm in generative AI, offering unprecedented capabilities and lightning-fast latency. With strong backing from GDM leadership, our team is dedicated to thoroughly exploring and advancing this technology. Our team is a multi-disciplinary group of engineers and scientists that work in close collaboration, leveraging our unique skills with a strong focus on building and shipping ground-breaking AI. We are a problem-focused team, meaning we are interested in any tool or idea that can solve a concrete problem, rather than being tied to a particular set of tools. 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 looking for a Research Scientist to join our team in London and help us accelerate our mission. As a Research Scientist, you will apply your deep scientific knowledge and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models, with a significant focus on our Gemini Diffusion project. You will work in a tight-knit and highly collaborative team environment that fosters fundamental research and technical innovation, giving you hands-on experience with improving state-of-the-art AI systems. As a team member, your work may involve: Brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space. Prototyping and developing these ideas with the rest of the team, contributing directly to Gemini Diffusion research. Solving key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps. Rigorously validating the theoretical and practical impact of our work at a large scale. Working collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production. Advancing the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models. Bringing deep scientific expertise into our projects. You will share your insights and knowledge with other researchers and engineers. We take scientific rigor seriously, and you will be a steward of that ethos. About you We take a holistic view of people's backgrounds and do not expect you to be an expert in all areas. We invest heavily in training and development, and continual learning is a key part of the role. In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: Advanced degree in computer science, electrical engineering, science, mathematics, or equivalent experience. Academic research experience in machine learning, publications, or research experience in related fields. Experience with some or all LLMs, Transformers, Diffusion models, Text diffusion, Large-scale distributed training. Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding, etc.). Programming experience, particularly with Python-based scientific libraries such as Numpy, Scipy, JAX, PyTorch, or TensorFlow. Deep familiarity with the machine learning, mathematics, and statistics needed to follow relevant research papers (linear algebra, calculus, etc.) and reason about cutting-edge innovations. Agile and solution-focused mindset - be prepared to work on anything! We're also interested in any of: A track record of building software, either in open source or as part of a company product or research papers. Large-scale system design, distributed systems. Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation). C++ or broader programming experience. Data engineering and visualisation. &nbsp;

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