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 up-to-date 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 systemsBuild transformer-based embedding retrieval for live trafficScore relevance with fine-tuned vision-language modelsOwn models, roadmaps, metrics, and production codeUse A/B tests to evaluate shipped search changesRequirements:

Three-plus years developing production machine learning systemsMeaningful search or retrieval-and-relevance experienceExperience serving models on real user trafficStrong Python and production engineering capabilityAbility to communicate with scientists, engineers, and product managersUse applied AI, query understanding, and relevance modeling to improve how Faire retailers discover wholesale products.

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