Description
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.
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 empty-state suggestions, query understanding, retrieval across five-plus independent sources, relevance modeling, and result-page surfaces like carousels and refinements.
You'll contribute to the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds.
Responsibilities:
- Contribute to the development of the Search engine
- Integrate LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning
- Work across the full modern search stack: transformer-based embedding retrieval serving live traffic, LLMs powering query understanding and query rewriting, fine-tuned vision-language models scoring relevance, and graph-based retrieval
Requirements:
- 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
- Excellent product judgment to connect customer and business context to technical decisions
Benefits:
- Competitive pay, equity, and comprehensive benefits
- Opportunity to work on meaningful problems that serve customers around the globe
- Flexibility to work remotely up to 4 weeks per year
- Investment in the latest enterprise AI tools
- Collaborative and supportive team environment