Position Details
About this role
This role involves developing and deploying machine learning algorithms for surgical robotics, focusing on improving performance and safety in unstructured environments.
Key Responsibilities
- Develop ML algorithms for surgical 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 scope includes AI/ML model development, simulation, data pipeline creation, and deployment on robotic surgical hardware, utilizing tools like TensorFlow and PyTorch.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with a strong background in AI and robotics, preferably with experience in surgical or medical robotics. They should have a PhD or MS in a related field, with expertise in developing ML algorithms, simulation, and deploying models 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 background in healthcare or surgical robotics, Unable to work in hybrid environment in Santa Clara
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