Robotics/AI Motor Control Scientist, Fauna
Core
Develop machine learning algorithms for motor control systems to enable robots to perform complex, whole-body tasks in natural environments.
Role type
Senior IC Robotics/AI Motor Control Scientist
Builds
Intelligent motor control strategies for robots
Domain
Robotics, Machine Learning, Control Systems
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Sim-to-real transfer, Kinematics, Motion planning, Simulation environments (Isaac Gym/Lab, MuJoCo), Applied research
Preferred skills
Large-scale distributed training for RL, Technical leadership, Perception system integration, Hardware constraints knowledge
Technologies
Isaac Gym, MuJoCo, RL frameworks
Responsibilities
Develop controllers leveraging advanced AI techniques, Collaborate with multi-disciplinary teams to integrate systems with hardware, Use simulation and real-world testing to validate algorithms, Lead technical projects from conception to deployment, Mentor junior scientists and engineers, Bridge research initiatives with practical engineering implementation
