Founding ML Engineer, Computer Vision (Object Detection)

Responsibilities

• Design computer vision architecture for identifying items by brand, model, edition, and variant, adapting foundation vision models to a specific catalog.
• Define category-level accuracy standards and build calibrated confidence scoring so the product can communicate uncertainty appropriately.
• Create feedback loops that use model errors to guide labeling priorities in partnership with the labeling team.
• Set priorities between expanding category coverage and improving accuracy in existing categories.
• Own the model serving path from research through production, balancing latency, cost, and reliability at scale.
• Explain model capabilities, limitations, and technical tradeoffs to company stakeholders.

Languages