Build search intelligence at Faire using Python and modern 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 learning Own search components from framing through production Design experiments and ship models to live traffic Serve personalized product feeds below 100 milliseconds Improve team practices through reviews and post-mortems Requirements:
Three-plus years building production machine learning systems Experience in search, recommendations, or retrieval relevance Knowledge of dual encoders, ANN serving, or learning-to-rank Strong Python and production engineering skills Clear communication and excellent product judgment Bring search, retrieval, experimentation, and Python expertise to Faire’s retailer-focused machine learning platform.
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