Member of Technical Staff, Search Ranking
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Parallel Web Systems is hiring a Member of Technical Staff, Search Ranking. Parallel Web Systems is seeking a Member of Technical Staff for Search Ranking to own the multi-stage ranking pipeline. This role involves optimizing precision and recall across candidate retrieval, first-pass ranking, and neural reranking, while managing compute resources and evaluating performance based on real usage outcomes. The ideal candidate will have deep intuition for relevance, feature engineering, and the trade-offs between quality, latency, and cost.
Key focus areas include Own the multi-stage ranking pipeline, Push precision and recall across fast candidate retrieval, and Push precision and recall across lightweight first-pass ranking.
Preferred (not required): Relevance Intuition, Feature Engineering, Trade-offs Between Quality, Latency, And Cost, and Ranking.
Skills & qualifications
Skills
Benefits
Full job description
About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Job: You will own the multi-stage ranking pipeline that narrows a web-scale set of candidates down to the handful of best passages for a query, spending the least compute necessary to do it well. You will push precision and recall across fast candidate retrieval, lightweight first-pass ranking, and heavier neural reranking, decide how much compute each query deserves, and grade everything on real usage outcomes rather than offline proxies.
You: Have 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, and how to train models that serve all three. You care about your research being applied to product and systems that millions use.
Life at Parallel Our team works fully in-person , between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
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Own customer impact: It’s on us to ensure real-world outcomes for our customers.
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Obsess over craft: Perfect every detail because quality compounds.
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Accelerate change : Ship fast, adapt faster, and move frontier ideas into production.
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Create win-wins : Creatively turn trade-offs into upside.
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Make high-conviction bets : Try and fail. But succeed an unfair amount.
Compensation & benefits
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Competitive salary
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Generous equity
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Visa sponsorships
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401K plans
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Daily lunch & office snacks
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Dinner at the office
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Unlimited vacation
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Caltrain pass reimbursement
You've read the whole posting — now see how you match it.