Advance Faire’s search experience with LLMs and query understanding. This hybrid position connects wholesale retailers with relevant products through intelligent retrieval. As a Senior Applied AI Scientist, you will work across Faire’s modern search stack and own meaningful modeling decisions. Develop systems involving transformer-based embedding retrieval, LLM-powered query rewriting, vision-language relevance scoring, and graph-based retrieval. Lead components through production implementation and A/B testing while balancing retailer category, price point, and aesthetic context. Search scientists at Faire own models, roadmaps, and metrics for their components. Key Responsibilities:





Develop query understanding and query rewriting systems Build transformer-based embedding retrieval for live traffic Score relevance with fine-tuned vision-language models Own models, roadmaps, metrics, and production code Use A/B tests to evaluate shipped search changes Requirements:

Three-plus years developing production machine learning systems Meaningful search or retrieval-and-relevance experience Experience serving models on real user traffic Robust Python and production engineering capability Ability to communicate with scientists, engineers, and product managers Use applied AI, query understanding, and relevance modeling to improve how Faire retailers discover wholesale products.

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📌 Senior Applied AI Scientist Search (Winnipeg)
🏢 Faire Wholesale
📍 Winnipeg