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Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)

Perplexity· Search
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Belgrade, LondonFull-timePosted 2mo ago

About the role

Machine Learning Engineer focused on improving search ranking quality across middle and late stages of ranking, with ownership of end-to-end ranking-quality problems and strong depth in neural or production ranking systems.

Responsibilities

  • Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available.
  • Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.
  • Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.
  • Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
  • Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.
  • Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome.

Qualifications

  • Deep understanding of search or recommender systems and their evaluation.
  • Proven ownership of a large-scale production ranking system or a substantial class of quality problems.
  • Strong machine learning and software engineering skills across data, models, serving, and monitoring.
  • Ability to drive ambiguous, cross-team problems without continuous task decomposition.
  • Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Perplexity

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