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Salary: USD 211,000 - 290,500 / annual
Faire is a B2B wholesale marketplace connecting independent retailers globally with suppliers and products. The company uses machine learning and data to help local businesses compete at scale.
As a Senior Applied AI/ML Scientist on the Marketplace Quality team, you will own end-to-end modeling and measurement projects that maintain trust and integrity across Faire's marketplace. Your work will span entity resolution, pricing-integrity detection, product matching, attribute extraction, and enforcement prioritization—all critical to ensuring retailers and brands have confidence in the listings they see.
Key responsibilities include:
- Owning applied ML projects from problem framing through production deployment and impact measurement
- Building and improving pricing-integrity models that detect over- and under-pricing violations using external pricing signals with calibrated confidence thresholds
- Solving product matching and entity resolution at scale by linking Faire's catalog to external listings using text/image embeddings, retrieval systems, and multi-modal LLMs
- Extracting structured attributes from unstructured listing content (descriptions, images, third-party sources) to power detection and enrichment
- Designing targeting and prioritization logic that ranks violations by expected marketplace impact against the cost of false positives, operating under a constrained human-review budget
- Building human-in-the-loop systems with marketplace operations partners: designing audits, generating training labels, setting precision bars, and closing feedback loops
- Designing and analyzing experiments for enforcement levers (downranking, badging, brand-facing remediation) and measuring effects on retailer trust and marketplace GMV
- Partnering across product, engineering, operations, and analytics to ship models and drive business impact
- Solving challenging two-sided marketplace problems
Faire's Applied AI/ML team includes experienced scientists from Uber, Airbnb, Square, Facebook, and Pinterest. The company is backed by top-tier investors including Y Combinator, Sequoia Capital, Khosla Ventures, and others. Faire was founded in 2017 by early product and engineering leaders from Square and has offices in San Francisco, Kitchener-Waterloo, Toronto, London, and New York.
Hybrid arrangement: 3 days per week in office (Tuesdays, Thursdays, plus one flex day), with flexibility to work remotely up to 4 weeks per year.
QUALIFICATIONS:
- 3+ years of industry experience using machine learning to solve real-world problems
- Experience with relevant business problems: e-commerce, marketplaces, catalog and content quality, search, or personalization
- Experience with relevant technical methods: deep learning and LLMs, computer vision, information extraction, entity resolution, ranking, and/or experimentation and causal inference
- Strong programming skills
- Ability to drive projects end-to-end and lead model development with limited supervision
- Strong communication skills and ability to work in highly cross-functional teams
- Excitement and willingness to learn new tools and techniques
GREAT TO HAVES:
- Master's or PhD in Computer Science, Statistics, or related STEM fields (highly recommended)
- Previous experience with catalog quality, product attribute extraction, computer vision for e-commerce imagery, or search and discovery for two-sided platforms
- Experience building and validating LLM evaluation pipelines, including prompt iteration against labeled data and human-in-the-loop workflows
