Computer Vision Engineer
Core
Building computer vision and agentic systems for Mill Commercial to identify, quantify, and turn food waste streams into operational intelligence for commercial kitchens.
Role type
Senior IC Computer Vision Engineer (CV)
Builds
Cloud-side evaluation harnesses, ground-truth workflows, and production ML pipelines for edge deployment.
Domain
Food waste management / Computer Vision / Agentic Systems
Deliverable
production ML models
Required skills
Computer vision fundamentals (segmentation, detection, classification, tracking), Deep learning (ConvNets, VLMs, LLMs), MLOps, Model evaluation & metrics, Edge optimization, Dataset curation, Python, PyTorch, OpenCV
Preferred skills
Video understanding (temporal consistency, tracking), MLOps tooling (W&B, MLflow, SageMaker, ClearML), Hardware/IoT product experience
Technologies
Python, PyTorch, OpenCV, VLMs, LLMs, ConvNets
Responsibilities
Train and evaluate segmentation, classification, and mass-estimation models; Optimize edge models for production performance; Create and curate customized datasets per customer/vertical; Analyze failure cases to drive data and modeling decisions; Build annotation tooling and ground-truth generation workflows; Partner with MLOps and edge engineers on training practices and deployment tradeoffs.
Seniority
Senior, hands-on IC
