Member of Technical Staff (Machine Learning Engineer, Search)

Perplexity is hiring a remote Member of Technical Staff focused on machine learning for search, with work centered on retrieval, ranking, and related search quality improvements. The role involves building core parts of the search and model stack, training and assessing retrieval, ranking, and classification systems, including LLMs, and deploying them at scale. It also includes creating and improving RAG pipelines and working closely with data, AI, infrastructure, and product teams. This position is suited to someone with at least five years of experience in search or recommender systems, strong knowledge of search evaluation, and a self-directed approach to delivery.

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