Reinforcement Learning Engineer – Whole Body Control

Figure · San Jose

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Company
Figure
Location
San Jose
Salary
$150,000
Posted
April 8, 2026

About this job

We are looking for a Reinforcement Learning Engineer to develop, train, deploy, and evaluate advanced reinforcement learning algorithms for whole body control of our humanoid robot. Key Responsibilities: Develop, train, and deploy reinforcement learning algorithms for whole body control Determine the observations, actions, and model types that unlock maximum performance Identify and close the most important sim-to-real gaps Define, test, and evaluate performance metrics for learned policies Harden the control stack to ensure rock solid robustness 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…

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