Jobs

Faire is seeking a Staff Applied AI/ML Scientist to own and advance their next-gen personalization and recommendation engine. This role involves designing and productionizing agentic systems, leveraging 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, search, or ads ranking, and a proven track record of shipping STOA ML models that blend large language models for personalization. This position requires strong Python coding skills, a product mindset, and the ability to drive technical strategies to impact key business priorities like cold-start recommendations and LTV optimization.