Staff Applied ML/AI Scientist - Search

📋 Description Own the next-gen Search engine with LLMs, dense retrieval, and fast ranking. Design and productionize language-based search and discovery systems for retailers. Lead model development and GPU deployment using Triton for scalable inference. Mentor senior scientists and establish ML productization and MLOps best practices. Own end-to-end personalization in a high-scale, multi-modal environment. 🎯 Requirements 7+ years in large-scale ML systems; 3+ years in search/recommendation. PyTorch and vector search infra (Faiss, ScaNN, Pinecone). Proven track record blending LLMs with structured features for personalization. Product-focused, moving from paper to prototype to production. Strong Python, reliability, and ownership in high-stakes environments. Excellent communication and cross-functional influence. 🎁 Benefits Move fast: own meaningful problems affecting customers globally. Equipped to scale: invest in enterprise AI tools to work smarter. Best in class: sharp, kind colleagues who care about craft and growth. Real rewards: competitive pay, equity, and comprehensive benefits. Belonging: inclusive environment with equal access to opportunities.