Computer Vision Engineering Intern - Fall 2026
About the role
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.
Responsibilities
- 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.
Requirements
- 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.
Qualifications
- 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.
- Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Spring of 2027.
- Must be available to work part-time (approximately 20 hours per week) during a 15-16 week period starting August or September.
Pay
Base Salary Range:
- Region 1: $73 - $82 per hour
- Region 2: $62 - $70 per hour
- Shift: Day
- Workplace Type: Set Schedule - This job will be onsite weekly, with the percentage of onsite work defined by the leader.
We provide market-competitive compensation packages, inclusive of base pay (paid at an hourly rate), benefits, and a housing allowance. Actual pay will be determined based on relevant skills and experience, degree-seeking academic program, year in school, and location.
Schedule
Due to the nature of our business and the role, proof of vaccination against certain diseases including COVID-19 may be required.