Train and evaluate segmentation/classification/mass-estimation models for Mill Commercial camera
Optimize edge models for production; scale ML pipeline with end-to-end lineage tracking
Create and curate customer-specific datasets to support accuracy across foods and environments
Analyze failure cases to drive data/model decisions
Build annotation tools and ground-truth workflows including foundation-model labeling
Collaborate with MLOps/edge on training, versioning, and deployment tradeoffs

🎯 Requirements

Strong fundamentals in computer vision and deep learning
Fluency with VLMs, LLMs, foundation models, and agentic systems
Experience evaluating ML models with metrics and eval harnesses
Product-shipping experience; production readiness, drift, and latency considerations
Bias for action; ship experiments and learn quickly
Experience building build-vs-buy decisions backed by data or a rubric

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