Solve product matching and entity resolution at scale: link Faire's catalog to external listings using text and image embeddings, retrieval, and multi-modal LLMs, and build the match-quality and gating models that make downstream detection trustworthy. You will work across structured and unstructured data (listing text, product images, external web listings, transaction history) using entity resolution, information extraction, multi-modal LLMs, calibrated classification, constrained optimization, and experimentation.