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Staff Reinforcement Learning Research Engineer
Summary by AIEngineer.careers
Staff Reinforcement Learning Research Engineer is a Physical AI Engineer role (full-time). with Boston Dynamics. in WALTHAM, US. Compensation shown: $155K–$200K. Imported listing (source: physicalai.jobs). Apply on the employer's site (physicalai.jobs).
Imported listing (source: physicalai.jobs) · Apply on physicalai.jobs
WALTHAM · US
$155K–$200K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from physicalai.jobs
Boston Dynamics is seeking a Staff Reinforcement Learning Research Engineer to lead the development of scalable RL frameworks for humanoid and quadruped robots. You will own the entire RL stack, from massively parallel simulation and domain randomization to on-robot deployment, ensuring policies are fast, reliable, and reproducible. This role involves integrating RL with Vision-Language Actions (VLAs) and pushing the boundaries of whole-body control and dexterous manipulation.
Responsibilities
- Implement on-policy and off-policy learning algorithms at scale
- Scale GPU-accelerated simulation to generate millions of samples per second
- Crack sim-to-real transfer to produce robust physical robot policies
- Integrate RL with VLAs for fine-tuning and distilling large multimodal policies
- Build visualization tools to enable data-driven research and iteration
Requirements
- MS in ML/Robotics with 3+ years experience or PhD
- Proven track record deploying RL policies on physical robots
- Expertise in RL toolboxes (RSL-RL, CleanRL, RLlib, Stable Baselines)
- Proficiency in simulation/rendering tools (Isaac Lab, MuJoCo, MjWarp)
- Strong programming skills in PyTorch/JAX and inference runtimes (ONNX, Triton, TensorRT)
Boston Dynamics
Waltham · US · 1085+ employees
Boston Dynamics is a global leader in developing and deploying highly mobile robots capable of performing complex tasks in unstructured environments. The company focuses on robotics research, development, and commercialization for sectors like manufacturing and logistics.
