Computer Vision Intern, Fall/Winter 2026
Core
Build and improve computer vision models for material and food recognition, including detection, segmentation, and classification.
Role type
Computer Vision Intern
Builds
Computer vision models and experiment tooling for food waste management systems
Domain
Waste prevention technology / Food systems
Deliverable
production ML models
Required skills
Python, deep-learning frameworks, object detection, image segmentation, representation learning, model evaluation, dataset curation
Preferred skills
MLOps, experiment-tracking tooling, dataset-management tooling, cloud platforms, Docker, Kubernetes
Technologies
Python, ClearML, Weights & Biases, MLflow, FiftyOne, Voxel51, CVAT, Roboflow, AWS, GCP, Docker, Kubernetes
Responsibilities
Curate and QA large image/video datasets; Develop and scale training pipelines; Design and run rigorous model evaluations; Collaborate with engineering and data teams; Document methods and share findings
Seniority
Intern
