Senior Reinforcement Learning Engineer
Core
Senior RL engineer implementing and deploying state-of-the-art algorithms for locomotion and manipulation on physical humanoid robots.
Role type
Senior hands-on IC reinforcement learning engineer (robotics)
Builds
Physical humanoid robot locomotion and manipulation capabilities
Domain
Robotics + Applied AI
Deliverable
production ML models
Required skills
Reinforcement learning, Python, C++, distributed training pipelines, sim-to-real transfer, robot dynamics and controls theory, imitation learning, model-based RL, motion retargeting
Preferred skills
PhD in CS/Robotics, 5+ years RL experience, publication record in top conferences (CoRL, RSS, ICRA), experience with legged robots or manipulators
Technologies
PyTorch, JAX, MuJoCo, IsaacGym
Responsibilities
Implement and deploy RL algorithms for dynamic locomotion and manipulation tasks; Drive development cycle from simulation prototyping to physical robot deployment; Optimize and scale RL training pipelines for high-throughput simulation; Mentor junior engineers; Collaborate with robotics/hardware teams on system-level issues; Analyze hardware results to guide technical direction
Seniority
Senior, hands-on IC with mentorship responsibilities
