Computer Vision Engineering Intern

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.