Senior Applied AI/ML Scientist - Marketplace Quality
Senior Applied AI/ML Scientist on Faire's Marketplace Quality team, owning end-to-end ML that keeps the wholesale marketplace trustworthy: matching the catalog to external listings (embeddings, multi-modal LLMs), detecting pricing/policy violations with calibrated confidence, and prioritizing enforcement under a constrained ops budget.
- Compensation
- $211K–$290.5K / yr
- Location
- San Francisco, CA
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
- Excitement and willingness to learn new tools and techniques
- Ability to drive a project end-to-end and lead model development with limited supervision
- Strong communication skills and 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
Full description
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
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.
About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientists specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. We are dedicated to building machine learning models that help our customers thrive.
As a Senior Applied AI/ML Scientist on the Marketplace Quality team, you will own the modeling and measurement that keeps Faire's marketplace trustworthy for the hundreds of thousands of independent brands and retailers on it. Retailers need confidence that the price and the product they see on Faire are the real thing. That means matching Faire's catalog against messy external data at scale, detecting pricing and policy violations with calibrated confidence, and deciding which violations are worth acting on given a finite operations budget. 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. You will drive projects end-to-end from framing through production and measurement, partnering closely with product, engineering, and our marketplace operations team.
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 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.