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About the Role
As the founding machine learning engineer, you will set the technical direction for computer vision in an early-stage resale marketplace. You will build and productionize models that identify items from images with the accuracy and confidence needed to support trustworthy pricing and customer decisions.
What You'll Do
Design computer vision architecture for fine-grained item identification, building on foundation models and adapting them to a specific catalog.
Define accuracy standards by category and develop calibrated confidence scores so the product can recognize when it is uncertain.
Build feedback loops that use model errors to guide future labeling and model improvement.
Set priorities between expanding category coverage and improving accuracy in existing categories.
Own the path from research to production, including model serving latency, cost, and reliability.
Communicate model capabilities and limitations to technical and non-technical stakeholders.
What We're Looking For
At least 5 years of applied computer vision experience, including a system shipped to production at meaningful scale.
Experience with fine-grained or instance-level classification, where distinguishing similar items matters.
Strong PyTorch or TensorFlow skills, with production experience fine-tuning and deploying vision transformers or CNNs.
Experience building evaluation frameworks that measure real-world model performance and improvement.
Comfort serving as the senior technical voice on an open-ended problem without an established playbook, and explaining tradeoffs to non-technical stakeholders.
Experience with active learning or human-in-the-loop labeling, low-latency model APIs, or an early-stage startup is valuable.