Machine Learning Engineer

Responsibilities

• Relentlessly push search quality forward through models, data, tools, or other leverage
• Architect and build core components of the 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 to ensure fast and high quality delivery

Requirements

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Proven track record with large-scale search or recommender systems
• Minimum of 5 years of working on search or recsys-related projects
• Self-driven with a strong sense of ownership and execution