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