Senior Applied AI/ML Scientist - Marketplace Quality

The role

You will own modeling and measurement to keep the marketplace trustworthy. You will build pricing-integrity models, solve product matching at scale, and extract structured attributes from unstructured data.

What you will do

• Own applied ML projects end-to-end from framing to measuring impact.
• Build and improve pricing-integrity models to detect violations.
• Solve product matching and entity resolution at scale using text and image embeddings.
• Extract structured attributes from unstructured listing content.
• Design targeting and prioritization logic for model scores.
• Build human-in-the-loop systems with marketplace operations partners.
• Design and analyze experiments for enforcement levers.
• Partner across product, engineering, operations, and analytics.
• Solve problems related to a two-sided marketplace.

Required 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.
• 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.

Nice to have

• Master's or PhD in Computer Science, Statistics, or related STEM fields.
• Previous experience with catalog quality, product attribute extraction, computer vision for e-commerce imagery, or search and discovery for a two-sided platform.
• Experience building and validating LLM evaluation pipelines, including prompt iteration against labeled data and human-in-the-loop workflows.

Benefits

• Flexible paid time off
• Company-wide recharge days
• Paid parental leave up to 16 weeks
• Comprehensive health coverage
• Fertility and family-building benefits through Carrot
• Mental health support and coaching through Modern Health
• Stipends to support professional development, wellness, and work from home needs
• Employer-sponsored retirement plan

About the company

Faire is a technology wholesale platform that uses tech, data, and machine learning to connect independent retailers with brands. The company was founded in 2017 by a team of early product and engineering leads from Square.