Base: $125,000 to $201,250 usd; bonus/equity: not ...
Hybrid
Ml algorithms for surgical robotics
Python for prototyping
C++ for deployable code
Develop and implement ML algorithms for surgical robotic manipulation, building pipelines for data collection, training, testing, and deployment
Job Summary
Develop and implement ML algorithms for surgical robotic manipulation, building pipelines for data collection, training, testing, and deployment.
Leverage simulation for prototyping, training, and transfer to robot hardware, defining and evaluating performance metrics for surgical tasks.
Collaborate with software and controls teams to deploy learned policies, ensuring safe and reliable execution and optimizing models for onboard real-time performance.
Matching Summary
Develop and implement ML algorithms for surgical robotic manipulation, building pipelines for data collection, training, testing, and deployment.
Salary
Base: $125,000 to $201,250 USD; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life insurance, disability, retirement plan, savings plan, long-term incentive program, vacation, sick time, holiday pay, work/personal/family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off
Skills & Requirements
Must-have
ML algorithms for surgical robotics
Python for prototyping
C++ for deployable code
Deep learning frameworks
Simulation platforms for robotics
Sim-to-real transfer
Nice-to-have
Innovation and technical credibility
Problem solving and process improvements
Relationship building and collaboration
Research and development expertise
Key Requirements
PhD/MS in Machine Learning, Computer Science, Robotics, or related field
3+ years of ML models for robotic manipulation experience
Experience with large multimodal ML models
Understanding of robot kinematics, dynamics, sensing, and control