Backed by Founders Fund, Lightspeed and Norwest.
About the role
Search is how retailers do their jobs on Faire. Wholesale queries and retailer expectations look different from consumer e-commerce and the right product depends on the store's category, price point, and aesthetic. When we get it wrong, it costs real money.
What they're looking for
- 3+ years building production ML systems, with meaningful time in search, recommendations, or another retrieval-and-relevance domain
- Shipped models that served real traffic, and owned the experiments that proved (or disproved) their value
- Depth somewhere in the modern retrieval stack — dual encoders and ANN serving, LLM-based query understanding, learning-to-rank fundamentals — and the ability to pick up the rest
- Strong Python and the engineering chops to take your own models to production
- Clear communication with scientists, engineers, and PMs: you make a crisp case for your ideas and update quickly when someone has a better one
- Excellent product judgment to connect customer and business context to technical decisions
More about this role
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.
Search is how retailers do their jobs on Faire. Wholesale queries and retailer expectations look different from consumer e-commerce and the right product depends on the store's category, price point, and aesthetic. When we get it wrong, it costs real money.
The Search algorithms team owns everything between the click on the search bar and the final ranker: typeahead and...
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