Member of Technical Staff - Search Quality Analyst

About the role

Perplexity is looking for an experienced analyst to help build and improve its core search technologies. The role sits at the intersection of data analysis and engineering: designing metrics, building data pipelines and improving the quality of search and answer systems. It is hybrid and based in Belgrade, London or Berlin.

Key responsibilities

• Find and diagnose quality issues in the search pipeline
• Design metrics from scratch to track and measure search quality
• Build datasets for model training, including LLM-as-a-judge labeling pipelines
• Improve search snippet quality and page selection algorithms for indexing
• Design and analyze A/B experiments to validate improvements

Required profile

• 4+ years of experience as a data analyst or in a related role
• Demonstrated hands-on experience designing metrics from scratch, building labeling pipelines with LLM-as-a-judge, training ML models that shipped to production, or running evals with known ground truth (e.g. SimpleQA, BrowseComp)
• Nice to have: experience on search-related products, knowledge of statistics and A/B experiment design, and experience with Apache Spark or Databricks

Required skills

• Strong coding skills, able to write production-grade code at a mid-level backend engineer level
• Proficiency with SQL and Python