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 Find and diagnose quality issues in our search pipelineDesign metrics from scratch to track and measure search qualityBuild datasets for model training, including LLM-as-a-judge labeling pipelinesImprove search snippet quality and page selection algorithms for indexingDesign and analyze A/B experiments to validate improvementsQualifications4+ years of experience as a data analyst or in a related roleStrong coding skills — expected to write production-grade code at a mid-level backend engineer levelProficiency with SQL and PythonDemonstrated hands-on experience with at least one of the following:Designing metrics from scratch (not just analyzing existing A/B experiments)Building labeling pipelines using LLM-as-a-judgeTraining ML models that shipped to production with measurable metric improvementsDesigning evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evalsPreferred QualificationsExperience working on search-related productsKnowledge of statistics and A/B experiment designExperience with Apache Spark or Databricks