Six Figure Work

Manager, Machine Learning on Orbit

Boston Dynamics

Company websitebostondynamics.com (Boston Dynamics, opens in new tab)

Base salary $190K  to $245K

Employer-published annual base salary, USD. Advertised base range Waltham Office (POST)

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationWaltham Office (POST)
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (22 min ago) · observed since

About this job

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.

Source: Boston Dynamics on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($190,000) is above 85% of the 141 Data & ML roles in Massachusetts listed on this site. Their median floor is $149,000; the middle half runs from $126,000 to $177,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Boston Dynamics roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Boston Dynamics roles with the nearest advertised base floor
RolePublished base
Manager, Machine Learning on Orbit (this listing)$190K - $245K
Director of CX Strategy and Portfolio Management$195K - $255K
Senior Engineering Manager, ML Platform$198K - $300K
Senior Staff ML Engineer- Atlas Agents Team$180K - $220K
Associate Director of Prototype Fleet & Repair$180K - $220K
Senior Staff Audio Machine Learning Engineer$180K - $220K
Associate Director, Integration Project Management$177,208 - $221,510

Same $100K to $400K scale as every card. All Boston Dynamics roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-05
Where this pay comes from

Location as the employer wrote it: Waltham Office (POST)

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 in

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.