Figure
Reinforcement Learning Engineer – Whole Body Control
San Jose, CA · Full-time
Sponsorship not specifiedDetected 20 days ago
AlgorithmsRoboticsMentoring
About the role
- Figure is an AI Robotics company autonomous general-purpose humanoid robots.
- The goal of the company is to ship humanoid robots with human level intelligence.
Requirements
- Experience tuning hyperparameters and cost functions for these RL algorithms
Nice to have
- Experience with behavior cloning techniques (e.g. distillation)
- This information will be shared if an employment offer is extended.
Skills
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
Compensation
- The US base salary range for this full-time position is between $200,000 and $350,000 annually.
Benefits
- Develop, train, and deploy reinforcement learning algorithms for whole body control
- Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
- Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
- Bonus Qualifications:
This listing is sourced directly from Figure's careers page and normalized into a canonical job model.