Member of Technical Staff (Machine Learning Engineer, Search)

📋 Description Relentlessly push search quality forward through models, data, tools, or leverage Architect and build core components of our search platform and model stack Train and evaluate retrieval, ranking and classification models, including LLMs Deploy models—from boosting to LLMs—in a scalable and performant way Build and optimize RAG pipelines for grounding and answer generation Collaborate with Data, AI, Infrastructure and Product teams for fast, high-quality delivery 🎯 Requirements Deep understanding of search and retrieval systems, including quality evaluation principles and Proven track record with large-scale search or recommender systems Self-driven, with a strong sense of ownership and execution Minimum of 5 years of working on search or recsys-related projects