Member of Technical Staff (Machine Learning Engineer, Search)

Stack

Responsibilities

• ▹Relentlessly push search quality forward through models, data, tools or any other available 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
• ▹Self-driven, with a strong sense of ownership and execution
• ▹Minimum of 5 years working on search or recsys-related projects

Soft skills