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Member of Technical Staff, Search Ranking

150k – 300kUnited StatesML EngineeringOnsite7+ YOE
Summary

Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.

About the role

Responsibilities

  • Own the multi-stage ranking pipeline that narrows a web-scale set of candidates down to the handful of best passages for a query
  • Spend the least compute necessary while maintaining quality
  • Push precision and recall across fast candidate retrieval, lightweight first-pass ranking, and heavier neural reranking
  • Decide how much compute each query deserves
  • Grade everything on real usage outcomes rather than offline proxies

Requirements

  • Deep intuition for relevance, feature engineering, and the trade-offs between quality, latency, and cost
  • Think rigorously about how ranking, retrieval, and agent behavior inform one another
  • Train models that serve ranking, retrieval, and agent behavior
  • Care about research being applied to product and systems that millions use
Skills
rankingretrievalneural rerankingfeature engineeringrelevance modelingmachine learninginformation retrievallatency optimizationcost optimizationmodel training
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