- Mountain View, California, United States
- On-site
- $153K–$234K per year
- 3+ years
Experienced applied robotics/robot learning engineer with reinforcement learning expertise.
Compensation
The salary range for this role is $153,200 to $234,100.
Responsibilities
- Develop, fine‑tune, and evaluate VLA models and learning‑based policies on physical robotic systems.
- Apply reinforcement learning to improve manipulation success rates, execution efficiency, robustness, and recovery from failures.
- Implement and evaluate appropriate approaches such as PPO, SAC, residual RL, policy adaptation, or learned recovery policies.
- Design reward functions and success detectors, including learned or VLM‑based reward models, for real‑world manipulation tasks.
- Apply sample‑efficient methods for real‑world training, such as RL from demonstrations, offline‑to‑online RL, and human‑in‑the‑loop corrections.
Requirements
- Ph.D. in Computer Science, Robotics or related discipline
- Master’s with 3 or more years of industry experience
- Nice to have: combining RL with pretrained VLA policies
- Nice to have: residual RL
- Nice to have: online policy adaptation