Staff, ML Research Scientist

Boston Dynamics; Boston (MA); On-site; USD 154,000 - 193,000; Full time

Benefits offered by this job

medical

dental vision

401(k)

paid time off

annual bonus structure

Job summary

Boston Dynamics is seeking a Staff ML Research Scientist to join the Machine Learning Safety R&D Team. You will research, design, and build novel ML models and algorithms to run on our robots, enabling safe operation around people and advancing Embodied AI.

You will work with a small cross-functional group to push the state of the art in ML architectures and address real-world robotics safety challenges, from research to deployment.

Qualifications

• 5+ years of experience applying Deep Learning to real-world problems in computer vision or related areas.
• Experience with full modeling cycle from research to deployment of DL architectures (Transformers, VLMs/VLAs, DRL).
• Knowledge of state-of-the-art work in CV, world models, DRL; publications are a plus.
• Experience with end-to-end DL development: data management, training, evaluation, hyperparameter tuning, deployment/productionization, online validation.

Responsibilities

• Research and build novel ML model architectures enabling safe robot operation around people.
• Research, validate, and deploy ML models to detect hazards, humans, and environmental features.
• Develop datasets, metrics, and validation plans for ML research.
• Collaborate with a small team to prototype perception and behavior models for safety features on robots.

Skills

Deep Learning

Transformers

Computer Vision

Deep RL

Model Deployment

Communication

Job description

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.

Benefits

• medical
• dental vision
• 401(k)
• paid time off
• 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.