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
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Relentlessly push search quality forward—through models, data, tools, or any other leverage available
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Architect and build core components of our search platform and model stack
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Train and evaluate retrieval, ranking and classification models, including LLMs
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Deploy models - from boosting to LLMs - in a scalable and performant way
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Build and optimize RAG pipelines for grounding and answer generation
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Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
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Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
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Proven track record with large-scale search or recommender systems
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Self-driven, with a strong sense of ownership and execution
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Minimum of 5 years of working on search or recsys-related projects
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