Manager, Machine Learning on Orbit
Bostondynamics Open · verified Oct 22, 2026 At a glance
Manager-level Machine Learning Engineering role at Bostondynamics. Waltham Office · full-time · $190,000–$245,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Lead a team of about five machine learning engineers working on Orbit
- Build and deploy models that use robot sensor data to identify site details, including abnormal machine conditions and objects
- Create ways to measure inspection model quality and prepare datasets for training, fine-tuning and evaluation
- Improve model results through approaches such as fine-tuning, model choice and prompt design
What you bring
- A computer science, machine learning, robotics or related degree, plus ten years of experience with a bachelor’s or seven with a master’s
- Advanced Python development skills, including software architecture, design patterns and performance tuning
- Hands-on work training, adapting and applying modern generative AI models, preferably for computer vision
- Experience with common machine learning tools such as CUDA and PyTorch
Who this fits
This role suits an experienced machine learning engineer ready to lead a team while staying involved in model research and deployment. You’ll work with full-stack engineers, product management, design, ML platform engineers and researchers. The position is based at the Waltham office.
From the employer
Boston Dynamics is building the world’s most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.
We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today.
In Orbit, we’re building a foundation model with leading zero-shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.
In this role you will:
- Be a lead on a team of ~5 machine learning engineers.
- Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc.
- Establish effective methods of evaluating inspection model performance.
- Curate datasets to be used in model training, fine-tuning and evaluation.
- Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering.
You will be a part of the Spot Applications Organization. Here you will work alongside full stack engineers and in close coordination with product management and design. You will be supported by ml platform engineers, and collaborate with researchers across Boston Dynamics.
We are looking for:
- BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.
- Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques.
- Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.
- Experience with common ML tools (CUDA, pytorch), architectures and workflows.
- Ability to track the current state of the art, and identify opportunities for product applications.
- A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings.
The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $190,000 - $245,000. 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 an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.