Reinforcement Learning Engineer- Spot Behavior at Boston Dynamics

Waltham, Minnesota, United States

Boston Dynamics Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
RoboticsIndustries

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

Responsibilities

  • 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

Skills

Python
C++
Reinforcement Learning
Deep RL
Robotics
Machine Learning
Planning
Control Systems

Boston Dynamics

Develops advanced robots for industrial applications

About Boston Dynamics

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.

Waltham, MassachusettsHeadquarters
1992Year Founded
$38.8MTotal Funding
ACQUISITIONCompany Stage
Robotics & Automation, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

Competition from affordable Chinese robotics could pressure market share and pricing.
Layoffs indicate potential financial or strategic challenges impacting future innovation.
Collaboration with multiple stakeholders may lead to strategic misalignments.

Differentiation

Boston Dynamics excels in creating robots with advanced mobility and dexterity.
Their robots are designed for unstructured environments, enhancing workplace safety and efficiency.
Spot and Atlas are pioneering robots in digital transformation and mobile manipulation.

Upsides

Collaboration with Toyota and Hyundai boosts AI-powered humanoid robot development.
Patent resolution with Ghost Robotics opens collaboration on robotics policy and technology.
AI advancements in Atlas position Boston Dynamics as a humanoid robot market leader.

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