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