Staff RL Engineer: Whole-Body Robot Control

Figure; San Jose (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

An AI Robotics company based in San Jose is seeking a Staff Reinforcement Learning Engineer. The ideal candidate will develop, train, and deploy advanced reinforcement learning algorithms for whole body control of humanoid robots. Strong knowledge of dynamics, control, and robotics is essential, along with the ability to lead projects and mentor junior engineers. The position requires in-office collaboration five days a week. The salary range for this role is $150,000 to $250,000 annually.

Qualifications

• Strong background in dynamics and control, ideally of legged robots.
• Experience with reinforcement learning algorithms for robotics like PPO, SAC.
• Capability of leading complex controls projects and mentoring junior engineers.

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 for rock solid robustness.

Skills

Reinforcement Learning

Dynamics and Control

Hyperparameters Tuning

Robot Control

Mentoring

Job description

An AI Robotics company based in San Jose is seeking a Staff Reinforcement Learning Engineer. The ideal candidate will develop, train, and deploy advanced reinforcement learning algorithms for whole body control of humanoid robots. Strong knowledge of dynamics, control, and robotics is essential, along with the ability to lead projects and mentor junior engineers. The position requires in-office collaboration five days a week. The salary range for this role is $150,000 to $250,000 annually.