Member of Technical Staff (Machine Learning Engineer, Search)

• Push search quality forward through models, data, and tools
• Architect and build core components of search platform and model stack
• Train and evaluate retrieval, ranking, and classification models including LLMs
• Deploy models in scalable and performant ways
• Build and optimize RAG pipelines for grounding and answer generation
• Collaborate with Data, AI, Infrastructure, and Product teams

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

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

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

Sourced directly from the company's job board — apply on their site.