Build search intelligence at Faire using Python and up-to-date machine learning. Work in a hybrid model serving retailers through live search traffic.
As a Senior Applied Machine Learning and Artificial Intelligence Scientist, you will shape Faire’s next-generation Search engine. Apply query understanding, dense vector retrieval, personalization embeddings, and multi-stage ranking. Own search components from problem framing through production code, experimentation, and roadmap decisions. Your work connects retailer needs with technical choices across wholesale discovery.
Key Responsibilities
Integrate LLMs, retrieval, ranking,
and reinforcement learningOwn search components from framing through productionDesign experiments and ship models to live trafficServe personalized product feeds below 100 millisecondsImprove team practices through reviews and post-mortemsRequirements:
Three-plus years building production machine learning systemsExperience in search, recommendations, or retrieval relevanceKnowledge of dual encoders, ANN serving, or learning-to-rankStrong Python and production engineering skillsClear communication and excellent product judgmentBring search, retrieval, experimentation, and Python expertise to Faire’s retailer-focused machine learning platform.
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