Senior Scientist – Physical AI for Surgical Robotics (Cambridge, MA)
Core
Develop Physical AI solutions for surgical robotics by combining model-based robotics methods with multimodal foundation models (Vision-Language-Action) to advance autonomy and decision-making in image-guided procedures.
Role type
Senior Scientist, Physical AI for Surgical Robotics
Builds
FDA-regulated image-guided surgical robotic systems
Domain
MedTech / Surgical Robotics / Physical AI
Deliverable
production ML models
Required skills
Robotics foundation models (VLA, multimodal AI, LLMs, vision models), model-based motion planning and control, Python, modern AI/ML frameworks, CI/CD practices, algorithm design, validation strategy, technical documentation
Preferred skills
Reinforcement learning, learning from demonstration, C++, safety-bounded autonomy, uncertainty estimation, fail-safe control, runtime monitoring
Technologies
Python, C++, Vision-Language-Action models, multimodal AI, large language models, vision models
Responsibilities
Develop and evaluate AI solutions combining vision, language, and robot actions; design algorithms and software in an FDA-regulated environment; contribute to system architecture and validation strategy; partner with clinical and regulatory teams to translate research into production solutions; lead technical work from concept through implementation
Seniority
Senior, hands-on IC