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Research Scientist, Multisensor Robotics, DeepMind

Google· DeepMind
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London, UKFull-timePosted 3d ago

About the role

Research Scientist role focused on advancing embodied AI for robotics, bridging theory and real-world deployment, with emphasis on sim-to-real transfer, multimodal learning, and large-scale experiments.

Responsibilities

  • Architect and train models to expand robotic capabilities and prototype concepts.
  • Apply-domain expertise in sim-to-real transfer, imitation learning, Vision-Language-Action (VLA) models, multi-sensory learning (tactile, audio), and model optimization (distillation, pruning, quantization).
  • Propose novel ideas, address manipulation hardware requirements, and communicate results to audiences.

Qualifications

  • PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.
  • 5 years of professional research experience in an industrial research and development (R&D) laboratory.
  • 3 years of experience designing, training, and scaling reinforcement learning (RL), imitation learning (IL), or multimodal generative architectures (including Vision-Language-Action (VLA) or video foundation models).
  • 2 years of experience optimizing foundation models for production, utilizing techniques like distillation, model pruning, and post-training quantization to meet on-device latency and memory footprint constraints.

Skills

Required:PhD or equivalent experience in a quantitative fieldReinforcement Learning (RL)Imitation Learning (IL)Vision-Language-Action (VLA) models
Nice to have:Multi-sensory learning (tactile, audio)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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