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Member of Technical Staff (Search Quality Analyst)

Verified Direct Employer Vetted
Open to Apply Remote · Belgrade · Posted 2mo ago
Search Search FullTime

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Stated location
Belgrade
Listing updated on our site
14 Nov 2026, 01:01 EAT

Last seen in the live employer feed: 14 Nov 2026, 01:01 EAT. This confirms a feed listing, not employer endorsement of an application.

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Job at a glance
Employer Verified Direct Employer (Protected)
Location Belgrade
Remote type Remote
Posted 2mo ago
Application Status Pro Membership & Free Pass Access

About this role (Direct Employer Details Protected)

[Employer] is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.This role is hybrid in Belgrade, London or Berlin.Responsibilities

  • Find and diagnose quality issues in our search pipeline
  • Design metrics from scratch to track and measure search quality
  • Build datasets for model training, including LLM-as-a-judge labeling pipelines
  • Improve search snippet quality and page selection algorithms for indexing
  • Design and analyze A/B experiments to validate improvements

Qualifications

  • 4+ years of experience as a data analyst or in a related role
  • Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
  • Proficiency with SQL and Python
  • Demonstrated hands-on experience with at least one of the following:
  • Designing metrics from scratch (not just analyzing existing A/B experiments)
  • Building labeling pipelines using LLM-as-a-judge
  • Training ML models that shipped to production with measurable metric improvements
  • Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals

Nice to have

  • Experience working on search-related products
  • Knowledge of statistics and A/B experiment design
  • Experience with Apache Spark or Databricks
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