Staff Reinforcement Learning Engineer – Whole Body Control

Figure

San Jose, CA, United States
Base: $150,000 - $250,000 annually; bonus/equity: ...
On-site
Reinforcement learning algorithms for robotics
Whole body control development
Sim-to-real gap identification
Figure is an AI Robotics company building autonomous general-purpose humanoid robots with the goal of achieving human-level intelligence

Job Summary

  • Figure is an AI Robotics company building autonomous general-purpose humanoid robots with the goal of achieving human-level intelligence.
  • The Staff Reinforcement Learning Engineer will develop, train, deploy, and evaluate advanced RL algorithms for whole body control of humanoid robots.
  • The company requires 5 days/week in-office collaboration in North San Jose, CA.

Matching Summary

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

Salary

Base: $150,000 - $250,000 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Reinforcement learning algorithms for robotics
  • Whole body control development
  • Sim-to-real gap identification
  • Performance metrics definition
  • Robust control stack hardening

Nice-to-have

  • Behavior cloning techniques
  • Legged robot dynamics and control

Key Requirements

  • Experience with RL algorithms (PPO, SAC)
  • Experience tuning RL hyperparameters and cost functions
  • Familiarity with RL techniques (domain randomization, curriculum learning, reward shaping)
  • Capable of leading complex controls projects
  • Mentoring junior engineers

Work Rights

Not specified

Tailored Resume

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