Senior AI/ML Scientist, Marketplace Quality

Faire Wholesale Inc.; San Francisco (CA); Hybrid; USD 211,000 - 291,000; Full time

Job summary

Faire is a technology wholesale platform to empower local retailers. We seek a Senior Applied AI/ML Scientist to own modeling and measurement for marketplace trust, matching catalog data to external sources, and detecting pricing and policy violations at scale.

You will work with product, engineering, and marketplace operations on end-to-end ML projects, from framing to production and measurement, leveraging multi-modal models and calibrated classifiers.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems.
• Experience with e-commerce, marketplaces, catalog and content quality, search, or personalization.
• Experience with deep learning and LLMs, computer vision, information extraction, entity resolution, ranking, and/or experimentation and causal inference.
• An excitement and willingness to learn new tools and techniques.
• The ability to drive a project end-to-end and lead model development with limited supervision.
• Strong communication skills and the ability to work in a highly cross-functional team.

Responsibilities

• Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact on the marketplace.
• Build and improve pricing-integrity models that compare Faire listings against external pricing signals and detect over- and under-pricing violations with a calibrated confidence bar.
• 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.
• Extract structured attributes from unstructured listing content (descriptions, images, third-party sources) to power detection and enrichment.
• Turn model scores into action: design the targeting and prioritization logic that ranks violations by expected marketplace impact against the cost of a false positive, under a constrained human-review budget.
• Build human-in-the-loop systems with our marketplace operations partners: design audits, generate training labels, set precision bars, and close the loop from review outcomes back into the models.
• Design and analyze experiments for enforcement levers such as downranking, badging, and brand-facing remediation, and measure their effect on retailer trust and marketplace GMV.
• Partner across product, engineering, operations, and analytics to turn models into shipped product and business impact.
• Solve challenging problems related to a two-sided marketplace.

Skills

Applied ML

E-commerce

Marketplaces

Information extraction

Entity resolution

Ranking

Experimentation

Cross-functional teamwork

Communication

LLMs

Education

MS/PhD in CS or related

Job description

Faire is a technology wholesale platform to empower local retailers. We seek a Senior Applied AI/ML Scientist to own modeling and measurement for marketplace trust, matching catalog data to external sources, and detecting pricing and policy violations at scale.

You will work with product, engineering, and marketplace operations on end-to-end ML projects, from framing to production and measurement, leveraging multi-modal models and calibrated classifiers.