Position Details
About this role
This position focuses on applying AI/ML techniques to improve the safety and performance of surgical robotic systems, involving model development, simulation, and deployment.
Key Responsibilities
- Develop ML algorithms for surgical robotic manipulation
- Build data pipelines for training and deployment
- Leverage simulation for prototyping
- Optimize models for real-time robotic hardware
- Collaborate with software teams on deployment
Technical Overview
The technical environment includes AI/ML model creation, simulation tools, data pipelines, and deployment on robotic hardware, utilizing frameworks like TensorFlow and PyTorch.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with expertise in AI and robotics, with experience in surgical or medical robotics. They should hold a PhD or MS, with skills in developing ML models, simulation, and deploying on robotic hardware.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with robotic hardware, No healthcare or surgical robotics background, Inability to work in hybrid environment in Santa Clara
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