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# Senior Applied AI/ML Scientist - Listing Quality

- **Company:** Faire
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $211,000.0 - $290,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Computer Programming, Information Extraction, Machine Learning, Unstructured Data, Large Language Models, Deep Learning, Information Technology, Evaluation of Large Language Models, Entity Resolution
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5896641481

## About the Role

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours., * 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.

Great to Haves:

 * Highly recommended: 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.

## Description

As a Senior Applied AI/ML Scientist on the Listing Quality team, you will own the modeling and measurement for the content that powers Faire's catalog: the images, titles, descriptions, and structured attributes across millions of products from hundreds of thousands of independent brands. Listing quality is one of the highest-leverage surfaces on the marketplace. Better images and richer product information make products easier to find, easier to evaluate, and easier to buy, and they compound across search, recommendations, and the product detail page. You will work primarily with unstructured data using multi-modal deep learning and LLMs, and you will drive projects end-to-end from framing through production and measurement.

Our team already includes experienced Applied AI/ML Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!

What you'll do

 * Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact.
 * Use multi-modal deep learning and LLMs to understand listing content, extract structured product attributes, and detect quality issues at catalog scale.
 * Improve product imagery through hero image selection, image ordering, cropping, and enhancement, so that the best representation of a product is the one retailers see.
 * Build ranking and exploration approaches (e.g. bandit-style selection) that learn which content performs best for which audience.
 * Improve listing text: titles, descriptions, and product information coverage, and measure the downstream effect on discovery and conversion.
 * Build LLM-as-judge and human-in-the-loop evaluation systems, and hold them to a measurable accuracy bar before they gate production decisions.
 * Partner across product, engineering, design, and analytics to turn models into shipped product and business impact, and to drive brand-facing nudges that improve listings at the source.
 * Solve challenging problems related to a two-sided marketplace.