Staff, ML Research Scientist
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Before you apply
Salary$154k – $193k
LocationWaltham Office (POST)
Work modeon-site
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentMachine Learning Safety R&D Team
Company size501–1,000 people
PostedMay 8, 2026 · 6mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on May 8, 2026
At a glanceSummarised by Seekless from the posting.
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
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
Publications are a plus
Skills
Deep Learning
Computer Vision
LLMs
Transformers
VLMs
VLAs
Deep Reinforcement Learning
Python
TensorFlow
PyTorch
Benefits
Health insurance
Dental
Vision
401(k)
Paid time off
Annual bonus
About the role
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.
Benefits
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.
Legal
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