Founding ML Engineer — Computer Vision (Object Detection)

This is a remote position.

The build: Our client is an early-stage commerce tech company building production computer vision for precise item identification and pricing. As founding ML engineer, you'll own the identification architecture, data strategy, evaluation standards, and production serving path — end to end, from foundation models fine-tuned toward a specific catalog.

The problem is fine-grained: brand, model, edition, variant. "Close" isn't good enough.

What you'll do

• Design and own the CV architecture for fine-grained item identification — starting from foundation vision models, fine-tuning toward the company's catalog.
  
• Define what "accurate enough" means per category; build calibrated confidence scoring so the product says "we're not sure" instead of guessing.
  
• Build the feedback loop between model errors and what gets labeled next, with the labeling lead.
  
• Decide where to invest: broader category coverage vs. deeper accuracy on today's categories.
  
• Own the serving path from research to production — latency, cost, reliability at scale.
  
• Represent the model's capabilities and limits company-wide — including with investors and customers.
  

Requirements