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.
What you'll do
You'll find and diagnose quality issues in our 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, and design and analyze A/B experiments to validate improvements.
What you need
- 4+ years of experience as a data analyst or in a related role
- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
- Proficiency with SQL and Python
- Demonstrated 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
