Staff, ML Research Scientist

Reads like an ML Engineer role: training models and running them in production.

Waltham Office (POST)

Open 6 months, first seen by us 188 days ago

Pay: $154,310–192,887/year · Base — pay source
The base pay range for this position is between $154,310 to $192,887 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. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position
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Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: Must already have the right to work in the USWe are interested in every qualified candidate who is eligible to work in the United States

What you’ll work on

Full posting

Research and build novel model architectures for safe robot operation around people
Research, build, validate, and deploy ML models to detect hazards and humans
Develop datasets, metrics, and validation plans for ML model research
Design and prototype deep learning perception and behavior models with a small team

From the employer’s posting

Research and build novel model architectures which allow our robots to operate safely around people.

Research, build, validate, and deploy ML models to detect hazards, humans, and other environmental features.

Develop datasets, metrics, and validation plans for ML model research.

Work closely with a small team to design and prototype new deep learning based perception and behavior models

Apply at Bostondynamics

Posting record

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Open 6 monthsWe first saw this posting 188 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 9, 2026188 days ago
Recorded sightings: 184
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$154K–$193K against $166K–$240K, the middle half of what similar US postings state.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 188

Up longer than most. Similar jobs usually come down between day 8 and day 76.

Well past Bostondynamics’s usual: its jobs come down by about day 54.

From 5,460 similar postings that came down, and 8 of Bostondynamics’s. Coming down is not always a hire.

Bostondynamics is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

As a Staff ML Research Scientist on the Machine Learning Safety R&D Team, you will join a small cross-functional group developing machine learning models that will enable our robots to operate safely around people. Every day you will help research, design, and build innovative machine learning models and algorithms to run on our robots. Your work will pave the way for our Embodied AI.

In this role you will chart a path by combining the best of state of the art ML architectures with real-world safe robotics challenges, ultimately creating novel solutions to one of the most important problems in robotics. If you are creative, thrive in a small team environment, and passionate about using machine learning to further a world where humans and robots truly work together - come join us!

How you will make an impact:

Research and build novel model architectures which allow our robots to operate safely around people.
Research, build, validate, and deploy ML models to detect hazards, humans, and other environmental features.
Develop datasets, metrics, and validation plans for ML model research.
Work closely with a small team to design and prototype new deep learning based perception and behavior models which create safety features for our robots.

We are looking for:

5+ years of experience applying Deep Learning (ML) to scalable real-world problems in computer vision or LLMs.
Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning.
Knowledge of state of the art work in related areas of computer vision, world models, and Deep Reinforcement Learning. Publications are a plus.
Experience with the full lifecycle of Deep Learning development, including network design, data management, training, evaluation, hyperparameter search, deployment/productionalization, and online validation.
Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics.
History of working in small, interdisciplinary teams.

The base pay range for this position is between $154,310 to $192,887 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.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position

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