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Research Scientist, Human Data, Robotics, DeepMind

Google
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Hybrid (London, UK)Full-timePosted 3d ago

About the role

Research Scientist role at Google DeepMind focused on robotics, with emphasis on incorporating human data (e.g., action data from wearables) into robotics foundation models. Involves designing and evaluating large models and algorithms for robotic agents, conducting large-scale experiments, and publishing findings.

Responsibilities

  • Design, implement, train and evaluate large models and algorithms for robotic agents, making breakthroughs and unlocking new robot capabilities.
  • Write software to implement research ideas and iterate quickly, working effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
  • Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models.
  • Leverage broader expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.
  • Report and present research findings clearly and efficiently both internally and externally.

Qualifications

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience with reinforcement learning and imitation learning.
  • Experience with vision, vision-language, video, and other multimodal models.
  • Experience with multimodal generative modeling, training and inference.

Skills

Required:Reinforcement learningImitation learningVision, vision-language, video, and multimodal modelsMultimodal generative modeling
Last updated Oct 23, 2026. Interested? Apply on the company site.

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