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Research Scientist, Robotics RL, DeepMind

Google· DeepMind
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LondonFull-timePosted 4d ago

About the role

Lead efforts in developing novel algorithms and models for embodied AI and Artificial General Intelligence, focusing on post-training self-improvement for robotic agents and collaboration with teams to apply research to real-world robotic systems.

Responsibilities

  • Design, train, and evaluate scalable algorithms for robotic agents, with a focus on post-training, self-improvement, and mastery.
  • Leverage experience to participate in research themes in robotics foundation models and physical agents (e.g. VLAs, WAMs, imitation learning, simulation-based learning, whole body control, dexterity, and more).
  • Develop scalable research pipelines and write robust software to test hypotheses quickly and conduct research at pace.
  • Collaborate within a fast-paced team to execute ambitious research goals.
  • Generate creative ideas, set up experiments and test hypotheses, reporting and presenting research findings clearly and efficiently both internally and externally.

Qualifications

  • PhD degree in a technical field or equivalent practical experience.
  • 2 years of experience in reinforcement learning or other techniques for mid-/post-training of foundation models and self-improvement in robotics, and other areas such as multimodal generative modeling, training and inference, vision-language/video, or other multimodal models.

Skills

Required:Reinforcement learning
Nice to have:Imitation learningRobotics simulationLarge-scale systems
Last updated Oct 23, 2026. Interested? Apply on the company site.

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