3 months ago
San Jose, CA, USASenior
Base Salary
$150k - $350k/yr
Responsibilities
- Develop, train, and deploy reinforcement learning algorithms for whole-body control of humanoid robots.
- Determine observations, actions, and model types that maximize performance.
- Identify and close important sim-to-real gaps.
- Define, test, and evaluate performance metrics for learned policies.
- Harden the control stack for robust operation.
- Lead complex controls projects and mentor junior engineers.
Requirements
- Strong background in dynamics and control, ideally involving legged robots.
- Experience with reinforcement learning algorithms for robotics, including PPO and SAC.
- Experience tuning hyperparameters and cost functions for reinforcement learning algorithms.
- Familiarity with domain randomization, curriculum learning, and reward shaping.
- Ability to lead complex controls projects and mentor junior engineers.
Benefits
- Full-time position requiring five days per week of in-office collaboration in North San Jose, California.
- Additional compensation components and benefits may be included depending on the specific role.
About Figure AI
Figure AI builds general‑purpose autonomous humanoid robots and the AI software that powers them, targeting tasks in industrial, commercial, and eventually residential settings. The privately held company monetizes through robotics hardware and related software/services aimed at enterprises seeking automation. Founded in 2022 and headquartered in San Jose, California, it has announced a partnership with BMW Manufacturing to pilot humanoid robots in automotive production.