Job Description
T he AI Engineering group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a Senior Machine Learning Engineer with focus on Computer Vision, Deep Learning, Generative AI and Robotics, contributing to new technology development for next-generation robot-assisted surgery platforms. This role is an exciting opportunity to join a newly formed team and contribute to its growth and it will give you an opportunity to test your knowledge in a challenging problem-solving environment.
The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research directions, and have a commitment to high research quality. A strong sense of shared responsibility and shared reward is required.
Primary Function of Position
- Lead the research, design, and implementation of AI algorithms for computer vision (image and video analysis), multimodal data, and action models
- Contribute to surgical AI and robotics pipelines; integrate, test, and evaluate accuracy bottlenecks of vision action (VA), and vision language action (VLA) models
- Lead development of effective techniques and infrastructure, from the initial idea to the running prototype and product.
- Contribute to research projects that develop a variety of algorithms and systems in computer vision, robotics, and multi-modal data fusion.
- Advance the state-of-the-art in the field, including generating patents and publications.
- Develop validation methods, datasets, pipelines, and evaluation metrics to show scalability to large clinical datasets.
- Participate in integration of new ML/CV algorithms into existing and future robotic platforms.
- Collaborate with users and clinical advisors to iterate prototype designs based on feedback and performance.
- Develop new technologies and digital products to improve surgeon and team performance on robotic surgery platforms.
- Support academic collaborations in related fields.
Senior Machine Learning Engineer in santa clara at Unknown Company
This position is listed as full time and onsite.