Staff Reinforcement Learning Engineer – Whole Body Control

Figureai

San Jose, CA, United States
Base: $200,000 - $300,000 annually; bonus/equity: ...
On-site
Reinforcement learning algorithms
Whole body control
Humanoid robot development
Develop, train, and deploy reinforcement learning algorithms for whole body control of our humanoid robot

Job Summary

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

Matching Summary

Develop, train, and deploy reinforcement learning algorithms for whole body control of our humanoid robot.

Salary

Base: $200,000 - $300,000 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Reinforcement learning algorithms
  • Whole body control
  • Humanoid robot development
  • Sim-to-real gap identification
  • Performance metrics evaluation

Nice-to-have

  • Behavior cloning techniques
  • Leading complex projects
  • Mentoring junior engineers

Key Requirements

  • Strong background in dynamics and control
  • Experience with legged robots
  • Experience with RL algorithms (PPO, SAC)
  • Experience tuning hyperparameters and cost functions
  • Familiarity with common RL techniques

Work Rights

Not specified

Tailored Resume

Cover Letter