_0.png)
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 senior members of our Computer Vision team and see your work reach real devices and users. This is a hybrid role based in San Bruno, CA.
What you'll work on- 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
- Currently pursuing (or recently completed) a Degree in Computer Vision, Machine Learning, Robotics or a related field
- Strong programming in Python and hands-on experience with a deep-learning framework
- Solid grounding in modern computer vision (object detection, segmentation, representation learning, etc.)
- Experience training and evaluating models on real datasets, and comfort with the messiness of real-world data
- A genuine interest in translating research skills into practical, shipped systems
Nice to have
- Experience with MLOps / experiment-tracking tooling (ClearML, Weights & Biases, MLflow)
- Experience with dataset-management and curation tooling (FiftyOne / Voxel51, CVAT, Roboflow)
- Familiarity with data/training pipelines, cloud (AWS/GCP), and Docker/Kubernetes
- Publications or open-source contributions in CV/ML
- Location: San Bruno, CA — hybrid
- Duration: [e.g., 3–6 months, flexible around your academic schedule]
- Start date: immediate
Skills Required
- Currently pursuing or recently completed a degree in Computer Vision, Machine Learning, Robotics, or a related field
- Strong Python programming skills
- Hands-on experience with a deep-learning framework
- Solid grounding in modern computer vision, including object detection, segmentation, or representation learning
- Experience training and evaluating models on real-world datasets
- Interest in translating research skills into practical, shipped systems
- Experience with MLOps or experiment-tracking tools such as ClearML, Weights & Biases, or MLflow
- Experience with dataset-management or curation tools such as FiftyOne, Voxel51, CVAT, or Roboflow
- Familiarity with data and training pipelines, AWS or GCP, Docker, or Kubernetes
- Publications or open-source contributions in computer vision or machine learning
- Authorized to work for any employer in the United States
Mill Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mill and has not been reviewed or approved by Mill.
-
Fair & Transparent Compensation — Pay is positioned as competitive for several senior technical and business roles, supported by multiple six‑figure base ranges in recent postings. Total compensation snapshots commonly cluster in the mid‑ to high‑$100Ks for individual‑contributor roles, reinforcing a generally market-competitive posture for the Bay Area.
-
Leave & Time Off Breadth — Time-off coverage appears broad, including paid holidays, paid sick days, flexible time off, and an unlimited vacation policy, with some company-wide time off. The overall setup signals strong flexibility for managing personal time, though day-to-day use may depend on team norms.
-
Healthcare Strength — Core health coverage is described as comprehensive, including medical, dental, and vision, alongside wellness programs and an FSA. The package breadth suggests a solid baseline consistent with tech-startup standards.
Mill Insights
What We Do
We’re on a mission to eliminate waste for good, starting with the food that ends up in landfills. Did you know that more than half of the food in landfills comes from home kitchens (ReFED)? And food in landfills turns into methane – which is 80x more potent than CO2 over a 20-year period (IPCC). At Mill, we’re working to turn kitchen scraps into food for chickens. This keeps food in our food system and out of landfills.
Why Work With Us
Food isn't trash. Mill keeps it from stinking up your kitchen – and the planet.
Gallery
