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, and leading projects from conception to deployment, bridging research and engineering.

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 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • 3+ years of building models for business application experience

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • publication track record

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
  • refine and validate control algorithms
  • apply advanced techniques to robotic motion challenges
  • Lead technical projects from conception through production deployment
  • Bridge research initiatives with practical engineering implementation