Robotics/ai Motor Control Scientist, Fauna

Amazon Amazon · Big Tech · NY +1 · Research Science

Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots, focusing on creating and optimizing intelligent motor control strategies for complex, whole-body tasks. The role involves leveraging RL/IL, integrating with hardware, using simulation and real-world testing, and leading projects from conception to deployment within Amazon's Fauna Robotics team.

What you'd actually do

  1. Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors
  2. Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency
  3. Use simulation and real-world testing to refine and validate control algorithms
  4. Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges
  5. Lead technical projects from conception through production deployment

Skills

Required

  • PhD, or Master's degree and 3+ years of applied research experience
  • Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
  • Experience with simulation environments for robot learning (Isaac Gym/Lab, MuJoCo, or similar)
  • Experience with sim-to-real transfer for robotic systems
  • Strong understanding of kinematics and motion planning for robotic systems
  • Experience with reinforcement learning, imitation learning, or other AI techniques applied to robotic motor control

Nice to have

  • History of impactful first-author publications at major conferences
  • Experience with large-scale distributed training for RL
  • History of technical leadership and cross-functional collaboration
  • Experience bridging research with practical engineering implementation in robotics systems
  • Experience bridging academic research and production robotics
  • Experience integrating perception systems (e.g., vision and touch sensors) into motor control pipelines
  • Familiarity with hardware constraints and actuator dynamics for robots

What the JD emphasized

  • Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
  • Experience with reinforcement learning, imitation learning, or other AI techniques applied to robotic motor control
  • Experience with sim-to-real transfer for robotic systems

Other signals

  • develop cutting-edge machine learning algorithms for motor control systems in robots
  • creating and optimizing intelligent motor control strategies
  • advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments
  • leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors
  • integrate motor control systems with robotic hardware
  • use simulation and real-world testing to refine and validate control algorithms
  • stay updated on advancements in robotics, AI, and control systems
  • lead technical projects from conception through production deployment
  • Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life
  • make robots people actually want to live and interact with in everyday human spaces
  • developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products
  • work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments
  • solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build
  • making robotics real for everyone and building systems that are as delightful as they are capable