Applied Research Lead, Reinforcement Learning
RunwayFull Time
Junior (1 to 2 years)
Waltham, Minnesota, United States
Key technologies and capabilities for this role
Common questions about this position
An MS or PhD in Computer Science, Robotics, Machine Learning, or a related field is required.
The role requires experience training and deploying RL policies for complex behaviors, familiarity with modern ML frameworks like PyTorch, TensorFlow, and Ray RLlib, and a strong foundation in algorithm design, debugging, and performance optimization. Proficiency in Python and C++ for developing production-ready code is also essential.
This information is not specified in the job description.
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The team is collaborative and mission-driven, with a focus on pushing boundaries in robotics, where ideas have real impact through close collaboration with expert engineers and researchers.
Develops advanced robots for industrial applications
Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.