Robotics ML Safety Research Scientist

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

Benefits offered by this job

Medical insurance

401(k)

Paid time off

Job summary

Boston Dynamics, Inc. is seeking a Staff ML Research Scientist on the Machine Learning Safety R&D Team to help develop models that enable our robots to operate safely around people.

You will research, design, and deploy ML models and algorithms, combining state-of-the-art architectures with real-world robotics challenges, and work in a small cross-functional team to advance Embodied AI. This role requires 5+ years in deep learning for CV/LLMs, expertise in Transformers and RL, and strong

Qualifications

• 5+ years of experience applying Deep Learning to scalable real-world problems in computer vision or LLMs.
• Experience with Transformers, VLMs/VLAs, and Deep Reinforcement Learning in modeling, training, and deployment.
• Knowledge of state-of-the-art work in computer vision, world models, and Deep Reinforcement Learning.
• Publications are a plus.
• Experience with the full lifecycle of Deep Learning development, including design, data management, training, evaluation, and online validation.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• 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.

Skills

Deep Learning

Computer Vision

Transformers

VLMs/VLAs

Deep RL

End-to-end DL

Publications

Job description

Boston Dynamics, Inc. is seeking a Staff ML Research Scientist on the Machine Learning Safety R&D Team to help develop models that enable our robots to operate safely around people.

You will research, design, and deploy ML models and algorithms, combining state-of-the-art architectures with real-world robotics challenges, and work in a small cross-functional team to advance Embodied AI. This role requires 5+ years in deep learning for CV/LLMs, expertise in Transformers and RL, and strong