Staff Reinforcement Learning Engineer

Responsibilities

• Develop, train, and deploy reinforcement learning algorithms for whole body control
• Determine the observations, actions, and model types that unlock maximum performance
• Identify and close the most important sim-to-real gaps
• Define, test, and evaluate performance metrics for learned policies
• Harden the control stack to ensure rock solid robustness

Requirements

• Strong background in dynamics and control, ideally of legged robots
• Experience with reinforcement learning algorithms for robotics (e.g., PPO, SAC)
• Experience tuning hyperparameters and cost functions for RL algorithms
• Familiarity with RL techniques such as domain randomization, curriculum learning, and reward shaping
• Ability to lead complex controls projects and mentor junior engineers

Preferred Qualifications

• Experience with behavior cloning techniques, such as distillation

About the Company

Figure is an AI Robotics company building autonomous general-purpose humanoid robots. Our goal is to ship humanoid robots with human-level intelligence capable of performing a variety of tasks in home and commercial markets. We are based in North San Jose, CA.