Senior Machine Learning Engineer
Full-timeMidComputer Vision and Machine LearningUnknownUnknownPhD
Description
Contribute to the development of novel Vision–Language–Action (VLA) and foundation models for the Maestro system, delivering real-world performance and safety improvements. Enhance and evolve existing AI features developed for the Maestro system. Curate and manage large-scale, multi-modal datasets generated by the Maestro system. Maintain expertise in machine learning, computer vision, and robotics. Collaborate with cross-functional teams to ensure precise interface and requirement definitions. Provide hands-on analytical troubleshooting during prototyping and through commercial launch. Generate invention disclosures and patents. Support with external vendors and collaborators as necessary. Daily, you’ll be immersed in design and development of the Maestro platform, acting as a key technical contributor to transform next-gen intelligent features from concept to reality. You'll report to the Director of Computer Vision and Machine Learning, engaging with team members globally and working within cross-functional teams.
Requirements
PhD in computer science, electrical engineering, robotics, or related fields, or Master’s with 4+ years industrial experience in computer vision, machine learning, and robotics. Hands-on experience with machine learning in robotics systems. Familiarity with foundation models and VLA approaches for robotics. Practical experience with PyTorch and MLOps. Proficiency in Python and C++. Experience developing machine learning algorithms for multi-modal datasets. Experience with TensorRT for software deployment is a plus. Previous experience in FDA-regulated environments is a plus. Must work on-site in San Carlos, California.
Moon Surgical
MEDICAL DEVICES
Robotic Surgery System
LocationCA - San Carlos
Employees1-50
Open Jobs12
UnknownSurgerySurgical Robotics
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