Mill is the smartest device in your kitchen. Mill turns would-be food waste into resources for the Earth. Keep filling it for weeks. Backed by GV.
About the role
We're looking for a candidate who wants hands-on experience applying their research inside a fast-moving company. As a Computer Vision Intern, you'll work directly with Mill's Computer Vision team on real production problems — from dataset curation and model training to the pipelines and experiment tooling that make our CV systems reproducible and fast to iterate on. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Build and improve computer vision models — detection, segmentation, and classification — for material and food recognition and related tasks
- Curate, explore, and QA large image/video datasets, surfacing failure modes, duplicates, and labeling issues
- Develop and scale training pipelines and experiment-tracking/reporting so experiments are reproducible and results are easy to compare — i.e., help build the "experiment harness" the team relies on
- 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
More about this role
Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.
We're looking for a candidate who wants hands-on experience applying their research inside a fast-moving company. As a Computer Vision Intern, you'll work directly with Mill's Computer Vision team on real production problems — from dataset curation and model training to the pipelines and experiment tooling that make our CV systems reproducible and fast to iterate on.
You'll be mentored by...
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