Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.
This role is hybrid in Belgrade, London or Berlin.
Responsibilities
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Find and diagnose quality issues in our search pipeline
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Design metrics from scratch to track and measure search quality
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Build datasets for model training, including LLM-as-a-judge labeling pipelines
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Improve search snippet quality and page selection algorithms for indexing
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Design and analyze A/B experiments to validate improvements
Qualifications
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4+ years of experience as a data analyst or in a related role
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Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
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Proficiency with SQL and Python
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Demonstrated hands-on experience with at least one of the following:
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Designing metrics from scratch (not just analyzing existing A/B experiments)
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Building labeling pipelines using LLM-as-a-judge
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Training ML models that shipped to production with measurable metric improvements
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Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Preferred Qualifications
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Experience working on search-related products
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Knowledge of statistics and A/B experiment design
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Experience with Apache Spark or Databricks
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