Parallel Web Systems · San Francisco or Palo Alto; New York, New York
Member of Technical Staff owning the multi-stage search ranking pipeline that narrows web-scale candidates to the best passages for a query. Work spans candidate retrieval, first-pass ranking, and neural reranking, with per-query compute allocation graded on real usage outcomes. The company is a web infrastructure company serving AI agents.
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.
The role:
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.
About 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.
You might be a good fit if you have:
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:
Compensation & benefits
Compensation: $150K - $300K
This posting doesn’t list technologies. These are the ones Parallel Web Systems uses across its other roles.