Machine Learning/Computer Vision Student

Company Description

Joining Intuitive Surgical means becoming part of a team that uses technology to benefit patients by enhancing surgical efficiency and reducing surgical invasiveness, with patient safety as our top priority. Intuitive Israel specializes in the development of our digital products. The rapidly expanding R&D centers in Haifa and Tel-Aviv lead the advanced technological development in the minimally invasive field. We utilize data to offer digital capabilities to clinicians to enhance clinical workflow and procedural outcomes. The contributions of the Israeli team greatly impact patients' lives around the world on a daily basis.

Job Description

Main Purpose of Position:

We are seeking a self-motivated student to join our ML Research team in projects centered on Computer Vision, Deep Learning, and Image/Video Analytics. The student will contribute to the development of new technology in the area of 3D scene comprehension/reconstruction and spatial AI systems for upcoming robotic surgery platforms. This role presents an exciting opportunity to test your knowledge and skills in a demanding problem-solving environment.

Roles and Responsibilities:

• Data Analysis and Insight Extraction: Analyze and extract insights from data acquired from a variety of gastrointestinal procedures.
• Pipeline Failure Detection: Identify instances of pipeline failure by assessing performance metrics and comparing them to prior datasets.
• Technical and Algorithmic Focus: Focus on addressing technical and algorithmic challenges relevant to Intuitive's Israeli team, particularly in the application of deep learning and computer vision to the GI medical imaging field.
• Collaboration with Research Professionals: Collaborate with Research Scientists or Research Software Engineers as a Research Intern, closely assisting with their projects.
• Ongoing Software Development: Be accountable for continuous software development tasks, including data management, testing, and experiment management.
• Academic Contributions: Contribute to one or more academic publications, further enhancing our collective knowledge in the field.

Qualifications

Required Knowledge, Skills, and Experience:

•    Student working towards a Master’s/PhD degree in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field, with at least three semesters until graduation.
•    Deep academic understanding of: Classic computer vision, Statistics, Linear algebra.
•    Practical or academic experience in designing and implementing solutions for computer vision and deep learning applications.
•    Hands-on experience with Python development.
•    Team player 😊
•    Ability to work at least 18 hours per week onsite (Tel Aviv).

Additional Information