Research Scientist, Reinforcement Learning
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Job Location:
Monthly Salary:
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
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
Were looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence as part of our interdisciplinary and collaborative Reinforcement Learning team.
About Us
DeepMinds RL team is a long-standing and tight-knit team of collaborative scientists and engineers led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design refine and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade members of the RL team have been instrumental in building DQN AlphaGo Rainbow AlphaZero MuZero AlphaStar AlphaProof and Gemini. Join us to build the next big thing!
The Role
As a Research Scientist youll use machine learning knowledge and technical know-how to innovate drive research projects as well as apply research to impactful problems. You will be expected to implement code run experiments own results end-to-end communicate them internally or externally as well as collaborate with and empower others.
Your work may involve:
- Initiating or pursuing novel research directions by proposing and testing research hypotheses.
- Implementing algorithm ideas and run end-to-end experiments including setup execution analysis and iteration.
- Sharing your skills and knowledge with other researchers.
- Building or improving infrastructure for research at scale.
- Designing evaluations and ablations that answer real questions and change minds.
- Analyzing results carefully including debugging and failure analysis.
- Communicating clearly through plots writeups and paper-ready narratives and figures.
- Contributing to a culture of first-principles thinking high standards and direct constructive feedback.
Our projects span the full range of state-of-the-art machine learning and AI fields including large language models distributed machine learning techniques and much more but with an emphasis on reinforcement learning.
We take a holistic view of peoples backgrounds and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems but we also invest a lot of time in training and helping people to continually learn as part of their role.
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:
- A passion for reinforcement learning
- A research track record in RL including peer-reviewed publications.
- Strong implementation ability and comfort working in research codebases.
- Evidence of owning experiments end-to-end including analysis and interpretation.
- Strong communication skills and a bias toward clarity and honesty regarding results.
- High agency and drive: You push projects forward prioritize effectively and take initiative.
- PhD in ML preferred or equivalent practical experience.
In addition the following would be an advantage:
- Experience with RL for sequence models post-training preference-based learning or agentic systems.
- Experience with modern research stacks (e.g. JAX/Flax or PyTorch) and scaling experiments.
- Strong experimental taste: Good judgment regarding baselines ablations and what is worth testing.
- Comfort with scaling evaluation methodologies and diagnosing complex failure modes.
- A focus on craft: You care about doing excellent work while maintaining a high velocity.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
