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
Ppo, sac
Figure is an AI Robotics company building autonomous general-purpose humanoid robots with human-level intelligence

Job Summary

  • Figure is an AI Robotics company building autonomous general-purpose humanoid robots with human-level intelligence.
  • The role involves developing and deploying advanced reinforcement learning algorithms for whole body control of humanoid robots.
  • The position offers a competitive salary range between $200,000 and $300,000 annually.

Matching Summary

Figure is an AI Robotics company building autonomous general-purpose humanoid robots with human-level intelligence.

Salary

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

Skills & Requirements

Must-have

  • Reinforcement learning algorithms
  • Whole body control
  • PPO, SAC
  • Hyperparameter tuning
  • Sim-to-real gaps
  • Control stack robustness

Nice-to-have

  • Behavior cloning
  • Domain randomization
  • Curriculum learning

Key Requirements

  • Strong background in dynamics and control
  • Experience with RL algorithms for robotics
  • Experience with hyperparameter tuning and cost functions
  • Familiarity with RL techniques like domain randomization and reward shaping
  • Leadership and mentoring skills

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter