Founding ML Engineer, Computer Vision (Object Detection)

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.