Founding ML Engineer, Computer Vision (Object Detection)

Responsibilities

• Design and own computer vision architecture, adapting foundation vision models to specialized catalog identification.
• Define category-level accuracy standards and develop calibrated confidence scoring so the product can communicate uncertainty.
• Build feedback loops that use model errors to guide labeling priorities in partnership with the labeling team.
• Balance broader category coverage against deeper accuracy in existing categories.
• Own the path from model research to production serving, including latency, cost, and reliability.
• Explain model capabilities and tradeoffs to technical and non-technical stakeholders.

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