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ParallelParallel

Member of Technical Staff, Retrieval & Indexing

Build and operate large-scale web indexing systems including corpus selection, searchable structures, quality/freshness models, and low-latency query serving. Requires deep expertise in information retrieval and distributed systems.

About the job

Responsibilities

  • Build and operate systems for large-scale full-text indexing over the web
  • Decide what belongs in the corpus
  • Build searchable structures that hold the corpus
  • Build signals and models that judge source quality and freshness
  • Serve queries against the index quickly and economically
  • Anticipate bottlenecks and ensure architecture evolves to meet increasing demand

Requirements

  • Deep intuition on information retrieval, distributed systems, and performance tuning
  • Ability to reason about trade-offs between classical and neural retrieval
  • Ability to reason about trade-offs between cost, reliability, and latency
  • Care about helping agents find the right information
  • Care about infrastructure that can support products used by millions

Nice-to-Haves

  • Experience with large-scale web indexing systems

Skills

Information Retrieval, Distributed Systems, Performance Tuning, Classical Retrieval, Neural Retrieval, Full-Text Indexing, Query Serving, Source Quality Modeling, Freshness Signals, Large-Scale Systems

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