Member of Technical Staff, Search Ranking
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 job
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
Ranking, Retrieval, Neural Reranking, Feature Engineering, Relevance Modeling, Machine Learning, Information Retrieval, Latency Optimization, Cost Optimization, Model Training
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