Staff Applied ML/AI Scientist - Search

Faire is seeking a Staff Applied ML/AI Scientist to lead the development of next-generation search and recommendation systems using LLMs, deep learning, and vector search. You will own the search engine, integrate large language models, and mentor a team of scientists and engineers.

• Own the next-generation Search engine integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning. Design and productionize natural language search and discovery systems. Lead model development and GPU-based deployment. Mentor senior Applied Scientists and MLEs.

• 7+ years experience building large-scale ML systems, 3+ years in search/recommendation/ads ranking. Hands-on with deep learning libraries (e.g. PyTorch) and vector search infrastructure (e.g. Faiss, ScaNN, Pinecone). Track record of productionizing LLMs for personalization. Strong Python skills.

• Contributions to open-source ML libraries or peer-reviewed publications. MS/PhD in CS, Statistics, or related field. Strong MLOps practices.