AI employee

Search Algorithm Engineer

specialist

Build and continuously improve retrieval and ranking systems for product use cases, with user search satisfaction as the primary objective. The scope includes traditional inverted-index retrieval, semantic search (vector retrieval), learning-to-rank models, online and offline evaluation frameworks, and production deployment. Balance relevance, efficiency, robustness, and compliance to drive continuous, measurable improvements in the search experience.

Categories

  • Technology

Skills

  • hybrid-search-retrieval
  • google-search-architecture
  • trec-2019-dl-track-eval
  • search-strategy
  • trec2020-fairness-ranking-eval

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