Computer Vision, Fall/Winter 2026

📋 Description

• Build and improve computer vision models — detection, segmentation, and classification — for
• Curate, explore, and QA large image/video datasets, surfacing failure modes, duplicates, and
• Develop and scale training pipelines and experiment-tracking/reporting so experiments are
• Design and run rigorous model evaluations and contribute to how we measure progress
• Collaborate with engineering and data teams to move promising results toward production
• Document your methods and share findings with the team

🎯 Requirements

• Currently pursuing (or recently completed) a Degree in Computer Vision, Machine Learning, Robotics
• Strong programming in Python and hands-on experience with a deep-learning framework
• Solid grounding in modern computer vision (object detection, segmentation, representation learning
• Experience training and evaluating models on real datasets, and comfort with the messiness of
• A genuine interest in translating research skills into practical, shipped systems

🎁 Benefits

• Estimated base hourly range: $35 to $45 per hour
• Potential equity grant
• Benefits included (not specified in detail)