Lead ML Research Scientist, Safety Robotics

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

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.