Jobs

Faire is seeking a Staff Applied AI/ML Scientist to lead the development of its next-gen personalization and recommendation engine. This role involves combining advanced ML techniques like LLMs, deep personalization embeddings, and reinforcement learning to deliver personalized product recommendations with low latency. The ideal candidate will have 7+ years of experience in large-scale AI/ML systems, with a focus on recommender systems, and a proven track record of shipping STOA ML models. This position offers the opportunity to drive technical strategies, mentor other scientists, and make a significant impact on Faire's mission to empower independent retailers.