Applied AI / ML Scientist - Ads Bidding
Faire(1 day ago)
About this role
Faire’s Ads Data team builds the next generation of advertising products and auction systems for its wholesale marketplace, using first-party data and machine learning to optimize outcomes for brands and retailers. This role focuses on shaping bidding, pacing, pricing, and budget optimization models and will be an early contributor with significant influence on the ads platform and business impact.
Required Skills
- Machine Learning
- Auction Optimization
- Bid Shading
- Budget Allocation
- Pacing
- Pricing
- Experimentation
- SQL
- Programming
- Deployment
+2 more
Qualifications
- Master's in Computer Science, Statistics, or related STEM
- PhD in Computer Science, Statistics, or related STEM
About Faire
faire.comFaire is a wholesale marketplace that connects independent retailers with emerging and established brands and makers, helping stores source curated, often-unique inventory at wholesale prices. The platform provides tools to buy and sell at scale — including flexible net payment terms, risk‑reduction features for first orders, returns protections, data-driven product discovery, and payments/logistics support — to lower inventory risk and streamline ordering. Faire’s mission is to democratize wholesale by giving small brands access to a broad network of retailers and giving retailers an easy way to discover and reorder differentiated products.
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