Senior Machine Learning Engineer, RL / Locomotion
Costa Mesa, California, United States
USD 220K-336K Senior-level Full Time
Tasks
- Collaborate with manipulation and perception engineers to integrate locomotion into autonomy stack
- Define and evaluate locomotion performance metrics
- Design reinforcement learning policies for legged robot locomotion
- Develop terrain curriculum and domain randomization strategies
- Identify and close reality gaps
- Own sim to real transfer pipeline
- Train and deploy reinforcement learning policies in simulation and real world
- Train locomotion for stairs rough terrain payload carry push recovery fall recovery
Perks/Benefits
Skills/Tech-stack
Actor-critic | Domain Randomization | GPU Computing | Isaac Lab | Isaac-Gym | Mujoco | Omniverse | Physics simulation | Policy Optimization | Proximal Policy Optimization | PyBullet | PyTorch | Python | Reinforcement Learning | Rl_games | Robotics | Sim-to-Real | Simulation | Soft Actor Critic | Stable Baselines | Terrain Curriculum
Education
N/A
Regions
Countries
States
Cities
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