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Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
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Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
The Revenue Chief of Staff partners with the CRO, CCO, and sales leadership to drive GTM initiatives, manage operating rhythms, coordinate executive meetings, track OKRs and commitments, oversee communication and accountability, and manage sales budgets and events. The role serves as a strategic and operational partner, supporting planning, process implementation, cross-functional collaboration, and execution across the revenue organization.
Design, implement, train, and deploy machine learning and reinforcement learning algorithms for last-mile delivery robotics. Develop Python and C++ software, evaluate algorithms in simulation, and test them on Boston Dynamics Spot robots operating in unstructured outdoor environments. The role requires advanced expertise in ML or RL applied to physical robotic hardware, modern ML frameworks, and strong software engineering practices.
At Boston Dynamics, we are pushing the boundaries of what advanced robots can do in the real world. The Spot team is building next-generation last-mile delivery capabilities, and we are seeking a curious, driven team member to develop cutting-edge machine learning (ML) and reinforcement learning (RL) solutions that run directly on our robots.
What You’ll Do
- Design, implement, train, and deploy state-of-the-art ML/RL algorithms for complex last-mile delivery challenges
- Develop and integrate software in Python and/or C++
- Evaluate new algorithms in our simulation environments and directly on our fleet of real Spot robots in unstructured, outdoor environments
We’re Looking For
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
- Experience deploying state-of-the-art ML or RL techniques (for either perception or control) directly onto physical robotic hardware
- Proficiency with a modern ML framework (e.g., PyTorch, TensorFlow, JAX)
- Strong software engineering fundamentals in Python or C++. You know how to leverage modern AI coding tools to accelerate development while maintaining rigorous standards for testing and system architecture.
The base pay range for this position is between $180,000 to $240,000 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.
Boston Dynamics Waltham, Massachusetts, USA Office
Waltham, MA, United States
Boston Dynamics Boston, Massachusetts, USA Office
Boston, United States
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
