Intuitive Surgical Careers

Research Intern – Medical Image Analysis / Machine Learning

US-CA-Sunnyvale, California
Internships


Job Description

Job: Internships
Primary Location: United States-California-US-CA-Sunnyvale
Schedule: Full-time
Requisition ID: 182839

Description

Company Description:

Intuitive Surgical: What Matters

Joining Intuitive Surgical, Inc. means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority.

Eligibility:


Must be concurrently enrolled and returning to an academic program in the fall in an accredited degree-seeking program.

Primary Function of Position:


The candidate will work with a top-notch multi-disciplinary R&D team to develop surgical planning software on a new robotic surgical platform (video).

We are seeking a talented individual to develop robust algorithms to segment key anatomical structures from 3d volumetric images, in a fully automatic and semi-automatic fashion. Machine learning/deep learning based methods are especially interesting due to its great success. We have datasets with ground-truth for both training and validation. Expected contributions include literature survey, algorithm design and implementation, testing on a large dataset with ground truth.

Roles and Responsibilities:


• Experiment with different machine learning models
• Develop prototype and evaluate on evaluation datasets
• Draft report and presentation

Qualifications

Skills, Experience, Education, & Training:


• A passion for developing technologies to improve the lives of hundreds of thousands of people.
• Self-motivated, self-disciplined and ability to work independently.
• Ability to perform fast prototyping and testing iterations and thinking outside the box to solve practical problems.
• Advanced MS or PhD student in the area of Medical Image Analysis, Machine Learning or Computer Vision.
• Solid knowledge and/or experience in one or more of the following areas is highly desired: 1) image segmentation, 3) machine learning / deep learning, 4) computer vision.
• Proficiency with Python and/or C++ to produce quick prototype and high quality code.
• Familiarity with standard medical image libraries and/or machine/deep learning packages.

Learning Outcomes:


• Applying knowledge/skill to make some real world impact
• Gain hands-on experience on using Deep Learning on 3d medical image segmentation
• Gain experience of R&D in a product focused company
• Exposure to the discipline of project planning and management

Commitment: Must be available to work full-time hours, M-F for 10-12 weeks beginning Summer of 2019.

 

We are an AA/EEO/Veterans/Disabled employer.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.