Computer Vision Engineering Intern

Computer Vision Engineering Intern

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

Primary Function of Position:

The candidate will join a leading R&D team to advance research and development in cutting-edge computer vision for robotic endoscopic video technologies. The focus will be on vision foundation/diffusion models, feature detection, and multimodal video analysis, contributing to next-generation AI platforms for real-world applications.

We are seeking a talented individual passionate about the latest advancements in computer vision and deep learning. Expected contributions include literature research, algorithm development and implementation, and experimental evaluation on large-scale video and image datasets.

Essential Job Duties:

• Explore and experiment with state-of-the-art computer vision models, including foundation models and generative diffusion models, with applications to video understanding, multi-modal data, and visual feature extraction.
• Prototype novel algorithms and evaluate performance using public and proprietary datasets.
• Conduct literature surveys and summarize key findings in reports and presentations.

Qualifications

Required Skills and Experience:

• Solid understanding and hands-on experience in computer vision, deep learning, and video analysis.
• Knowledge in one or more areas: large vision-language models, generative diffusion models, feature detection, scene understanding, video classification, or multimodal learning.
• Proficiency in programming with Python or C++, with experience in relevant frameworks (e.g., PyTorch, OpenCV, DINO/CLIP, HuggingFace Transformers, etc.).
• Strong research and communication skills, with the ability to summarize findings and present them clearly.
• Passionate about pushing the boundaries of AI technologies to solve complex, real-world problems.
• Passion for developing technologies to improve the lives of patients and physicians.
• Self-driven, able to work independently and deliver rapid prototyping and experimentation.
• Ability to perform fast prototyping iterations; thinking outside the box to solve practical problems.

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
• Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.

Required Education and Training:

• Current enrollment in a Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Biomedical Engineering or related degree-seeking program at the Doctorate level. Master's level students would also be considered based on specific relevant experience.

Preferred Skills and Experience:

• Solid understanding and hands-on experience in robotics actions.
• Knowledge in one or more areas: vision language action (VLA) models, image/video generative models or reinforcement/imitation learning.