data analyst in search systems

Perplexity develops core search technologies, including search and answer systems.

• 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

• 4+ Years of experience as a data analyst or in a related role
• Strong coding skills, including writing production-grade code at a mid-level backend engineer level
• Proficiency with SQL and Python
• 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-judge, training ML models that shipped to production with measurable metric improvements, or designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
• Будет плюсом: experience working on search-related products, knowledge of statistics and A/B experiment design, experience with Apache Spark or Databricks

• Условий в вакансии нет