Software Engineer, GenAI OneRecipe

Software Engineer, GenAI OneRecipe   The Role You will join a diverse team of experts passionate about pushing the boundaries of AI. This role offers invaluable experience on a high-impact project with significant implications for the future of AI,  while contributing to a culture that champions velocity and user-centric design.

As a key contributor to the Gemini Data Tooling team, you will build critical tools that accelerate ML researchers in developing and releasing new models with ever-advancing capabilities!  Key responsibilities Designing and Developing Core Tooling: Lead the design and development of essential data tools for Gemini model training.

This involves overseeing the complete data lifecycle, from data collection and curation to release tooling, distillation, and analysis. Collaborating and Translating User Needs: Work closely with researchers and engineers to understand their needs and translate them into effective, user-centric solutions. Driving Developer Experience (DevEx): Leverage strong UX intuition to create tooling with exceptional developer experience.

Mentoring and Guiding: Provide technical guidance and mentorship to other team members in tooling development. Delivering End-to-End Solutions: Develop comprehensive, end-to-end solutions primarily in Python. Navigating Dynamic Environments: Thrive in a dynamic environment, adapting to evolving challenges and priorities in large language model (LLM) development   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. 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.  

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...