Member of Technical Staff (Data Scientist, Evals)

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About this role

Member of Technical Staff (Data Scientist, Evals) London, UK, United Kingdom, Belgrade, San Francisco, Berlin Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. Responsibilities - Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness - Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality - Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices - Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements - Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality Qualifications - PhD or MS in a technical field or equivalent experience - 4+ years of experience in data science or machine learning - Strong proficiency in Python and SQL (expected to write production-grade code) - Experience building within a modern cloud data stack, specifically AWS

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