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

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