AI Research Scientist
| Company | Intuitive Surgical |
|---|---|
| Location | Sunnyvale, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
Requirements
- Doctoral degree in computer science, electrical and computer engineering, or Master’s degree with minimum (5) years industry experience developing computer vision and machine learning applications
- Strong understanding and experience in building effective learning systems (data collection, training, evaluation, and making iterative improvements)
- Strong publication track record in conferences like CVPR, ICCV, MICCAI, etc.
- Strong hands-on experience with at least one of the mainstream deep learning frameworks such as TensorFlow or PyTorch
- Strong hands-on experience with Python (proficiency), C/C++ (proficiency), Shell Script
- Strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming
- Strong hands-on experience with GPU accelerated algorithms and implementations
- Strong hands-on experience with state-of-the-art AI models
- Excellent communication skills both written and verbal
- Solid understanding of computer vision, machine learning, and deep learning algorithms and techniques is required
- Self-starter and able to work in a collaborative and results-oriented environment
- Ability to travel domestically and internationally (5-15%)
- Able to view live and recorded surgical procedures
Responsibilities
- Lead research, design, and implementation of AI algorithms for computer vision (image and video analysis), multi-modal data and generative systems
- 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 and evaluation metrics to show scalability to large clinical datasets
- Contribute to building new clinical datasets and data pipelines
- Participate in integration of new ML/CV algorithms into existing and future robotic platforms
- Experiment with several 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
Preferred Qualifications
- Experience with visualization tools is a plus