Computer Vision Intern: Build Real-World ML for Waste Tech

Mill; San Bruno (CA); Hybrid; USD 48,000 - 62,000; Full time

Job summary

Mill is seeking a Computer Vision Intern to work with our fast-moving CV 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.

Based in San Bruno, CA, this hybrid role is mentored by senior team members and offers hands-on experience shipping CV solutions to devices and users. You will contribute to practical, shipped systems while pursuing a degree in CV/ML.

Qualifications

• Currently pursuing (or recently completed) a degree in Computer Vision, ML, Robotics or a related field.
• Strong programming in Python and hands-on experience with a deep-learning framework.
• Solid grounding in modern computer vision (detection, segmentation, representation learning).
• Experience training and evaluating models on real datasets; comfort with real-world data.

Responsibilities

• Build and improve computer vision models for material and food recognition.
• Curate, explore, and QA large image/video datasets; surface failures and labeling issues.
• Develop and scale training pipelines and experiment-tracking/reporting for reproducibility.
• Design and run rigorous model evaluations and measure progress.
• Collaborate with engineering and data teams to move results toward production.
• Document methods and share findings with the team.

Skills

Python

Deep learning

Computer vision

Datasets

Experiment tracking

Education

Degree in Computer Vision, ML, Robotics or related field

Tools

ClearML

Weights & Biases

MLflow

Job description

Mill is seeking a Computer Vision Intern to work with our fast-moving CV 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.

Based in San Bruno, CA, this hybrid role is mentored by senior team members and offers hands-on experience shipping CV solutions to devices and users. You will contribute to practical, shipped systems while pursuing a degree in CV/ML.