Founding ML Engineer, Computer Vision (Object Detection)

Job description

### About the Role As the founding machine learning engineer, you will set the technical direction for fine-grained visual item identification at an internet marketplace platform. You will build production models that identify specific brands, models, editions, and variants, helping users make informed decisions with confidence. ### What You'll Do - 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. ### What We're Looking For - At least 5 years of applied computer vision experience, including production systems delivered at meaningful scale. - Hands-on experience with fine-grained or instance-level recognition, distinguishing between visually similar items where near-misses are not sufficient. - Production experience fine-tuning and deploying vision transformers or CNNs with PyTorch or TensorFlow. - Experience adapting foundation vision models to specific use cases or catalogs. - Ability to design and run evaluation frameworks that measure model improvements beyond training loss. - Experience with calibrated confidence scoring and ownership of model serving decisions, including latency, cost, and reliability. - Strong written and verbal communication, and comfort providing technical leadership on an open-ended problem. ### Compensation & Benefits Base salary: $200,000 to $260,000 annually. Visa sponsorship is not available. ### Location Hybrid role based in New York, New York.