Reinforcement Learning Engineer – Whole Body Control
Full Job Posting
Requirements:
- Strong background in dynamics and control, ideally of legged robots
- Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
- Experience tuning hyperparameters and cost functions for these RL algorithms
- Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
- Capable of leading complex controls projects and mentoring junior engineers
- Bonus Qualifications:
- Experience with behavior cloning techniques (e.g. distillation)
- The US base salary range for this full-time position is between $150,000 and $350,000 annually.
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
About Figure
AI robotics company developing general-purpose humanoid robots designed to work alongside people in real-world environments.
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