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Reinforcement Learning Engineer- Spot Behavior

United States, Waltham · Job Posted February 19, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

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