Research Scientist, Manipulation for Robotics, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Research Scientist role focused on pioneering AI integration into robotics for physical agents, enabling robots to perceive, plan, think, use tools, and act. The role involves developing and training large foundation models for general-purpose dexterous manipulation tasks, aiming for human-level performance on real-world applications using frontier robotics models. This includes working with simulators, real robots, and various AI techniques like reinforcement learning and vision-language-action models.

What you'd actually do

  1. Design, implement, train, and evaluate large models and algorithms for robotic agents to make breakthroughs and unlock new robot capabilities.
  2. Write software to implement research ideas and iterate quickly.
  3. Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.
  4. Work effectively with a collaborative team with changing agendas to meet ambitious research goals.
  5. Generate creative ideas, set up experiments, and test hypotheses to report and present research findings clearly and efficiently both internally and externally.

Skills

Required

  • PhD in Computer Science, a related technical field, or equivalent practical experience
  • Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR)
  • Experience with dexterous manipulation
  • Experience working with simulators and robots
  • Python programming

Nice to have

  • Experience training neural networks using large datasets or simulation to improve real robot behavior
  • Experience with sim2real
  • Passion for Robotics

What the JD emphasized

  • PhD in Computer Science, a related technical field, or equivalent practical experience.
  • Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR).
  • Experience with dexterous manipulation.
  • Experience working with simulators and robots.

Other signals

  • pioneering the integration of AI into the physical world
  • physical agents
  • robots to perceive, plan, think, use tools, and act
  • large foundation models will transform general purpose Robotics
  • human level manipulation
  • frontier robotics models
  • general purpose dexterous tasks reaching human level performance on real world applications