Google DeepMind is hiring a Research Scientist in Reinforcement Learning at its London, UK headquarters. This is a rare opportunity to join one of the world’s most impactful AI research teams — the same team behind landmark work including DQN, AlphaGo, AlphaZero, MuZero, AlphaStar, AlphaProof, and Gemini. The role is open on a rolling basis with no fixed deadline, so candidates are encouraged to apply promptly.
- Employer: Google DeepMind
- Location: London, UK
- Role Type: Full-time, Research Scientist
- Deadline: Rolling / Open (apply as soon as possible)
- Responsibilities: Initiate novel RL research directions, run end-to-end experiments, share knowledge with team, communicate results internally and externally, contribute to first-principles research culture
- Required Qualifications: Passion for RL; research track record with peer-reviewed publications; strong coding skills; evidence of owning experiments end-to-end; PhD in ML preferred or equivalent experience
- Preferred Experience: RL for sequence models, post-training, preference-based learning, or agentic systems; JAX/Flax or PyTorch; scaling experiments
- Apply: job-boards.greenhouse.io/deepmind – Research Scientist, RL
Google DeepMind’s Reinforcement Learning team is a tight-knit group of scientists and engineers tackling large-scale RL research challenges. Working here means access to world-class compute, collaborators, and a mission-driven culture pushing the frontier of artificial intelligence. If you have RL expertise and a strong research track record, this is an exceptional opportunity to have real scientific and product impact at scale.
Always verify deadlines and details on the official Google DeepMind careers website before applying.