Do you have a passion for applying machine learning to drive real-world robot behavior? As a Reinforcement Learning Engineer on the Spot Behavior team, you will develop and deploy cutting-edge reinforcement learning techniques to expand Spot’s capabilities in dynamic, real-world environments. You’ll work on a multidisciplinary team tackling high-impact mobility challenges—ranging from terrain traversal and balance to complex locomotion behaviors. This role offers the opportunity to work hands-on with Spot and push the boundaries of legged robot performance.
Day-to-Day Activities:
Design and deploy reinforcement learning systems to improve Spot’s mobility and robustness.
Integrate learning-based solutions into Spot’s existing planning and control systems in collaboration with experts across controls, perception, and planning.
Build and maintain systems that support reliable, scalable, and reproducible RL training.
Test and debug your work using our in-house fleet of Spot robots.
Write high-quality, maintainable code in both Python and C++.
Provide mentorship and technical guidance on ML best practices.
We are looking for:
Master’s degree or higher in Robotics, Mechanical Engineering, Computer Science, or a related field.
3+ years of experience with a proven track record of deploying models on hardware.
Proficiency in both Python and C++ programming languages.
Strong analytical and debugging skills.
Familiarity with modern deep RL toolkits and architectures.
Nice to Have:
Experience with legged robotics.
PhD in Robotics, Mechanical Engineering, Computer Science, or a related field.
The base pay range for this position is between $154,000 to $212,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.