At a Glance
- Tasks: Lead research on agentic tasks and design scalable experiments.
- Company: Join Google DeepMind, a leader in AI innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in AI with cutting-edge research.
- Qualifications: Bachelor's or Master's in a relevant field; experience in machine learning.
The predicted salary is between 60000 - 80000 £ per year.
- Minimum qualifications
- Bachelor's or Master’s degree in Computer Science, Machine Learning, a related quantitative field, or equivalent practical experience.
- 2 years of experience with reinforcement learning (RL), supervised fine‑tuning (SFT), or agent‑based systems, including modeling or applied infrastructure.
- 2 years of experience with machine learning frameworks such as JAX, Flax, Tensor Flow, or Py Torch, and scaling experiments.
- Preferred qualifications
- Ph D in Computer Science, Machine Learning, or a related quantitative field.
- Publications in reinforcement learning (RL), tool‑use, or agentic systems, or applied projects demonstrating infrastructure for agentic setups.
- Experience balancing research velocity and code quality, including managing technical debt.
- Ability to investigate complex technical issues and develop high‑standard scientific artifacts.
- Preference for simple, elegant solutions to research problems.
- Experience with systems design and managing code complexity in large codebases.
Responsibilities
- Lead the full research process, from forming hypotheses to delivering direct impact in Gemini post‑training.
- Design effective ablations to systematically validate and iterate on research ideas.
- Communicate research findings and experimental results through clear plots and reports.
- Develop reliable infrastructure and utilities to support post‑training research and evaluations.
- Collaborate with other researchers and engineers to accelerate project velocity.
At Google Deep Mind, you will work on agentic tasks in post‑training large language models as a Research Scientist or Research Engineer.
You will design scalable experiments and build reliable infrastructure for tool use and reinforcement learning.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Research Scientist, Agent Post-Training, DeepMind in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.
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We think this is how you could land Research Scientist, Agent Post-Training, DeepMind in London
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We think you need these skills to ace Research Scientist, Agent Post-Training, DeepMind in London
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