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London, UK£150K - £220KFull-timeHybrid
ResearchMulti-AgentReinforcement LearningPython
Apply NowPosted April 3, 2026
About the role
Conduct fundamental research on multi-agent systems at DeepMind. You'll explore coordination, communication, and emergent behavior in populations of AI agents — with the goal of building systems that can collaborate effectively on complex real-world tasks.
Responsibilities
- Design and run experiments on multi-agent coordination and communication
- Develop novel algorithms for agent collaboration and task decomposition
- Publish research at top-tier venues (NeurIPS, ICML, ICLR)
- Collaborate with engineering teams to translate research into products
- Mentor junior researchers and interns
Requirements
- PhD in Machine Learning, Computer Science, or related field
- Published research in multi-agent systems, RL, or related areas
- Strong implementation skills in Python and JAX/PyTorch
- Ability to design clean experiments and draw rigorous conclusions
- Excellent communication and collaboration skills
Interested in this role?
Apply directly on DeepMind's website.
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