Member of Technical Staff (Machine Learning Engineer, Search)

About the role

Requirements

• Qualifications
• - 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 of working on search or recsys-related projects

Responsibilities

• Responsibilities
• - Relentlessly push search quality forward—through models, data, tools, or any other leverage available
• - 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 to ensure fast and high quality delivery

Skills

• large-scale search
• recommender systems
• LLMs
• RAG pipelines
• retrieval models
• ranking models
• classification models
• model deployment
• scalability
• evaluation metrics
• grounding
• search platform
• model stack
• data tooling