Role at a glance
- Job function
-
AI & Data AI Search & Retrieval Engineering
- Salary
- Not Disclosed
- Location
- Belgrade London
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 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
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Role Summary
The Search Quality Analyst works at the intersection of data analysis and engineering to build and improve core search technologies. The role is hybrid in Belgrade, London, or Berlin.
What You'll Do
- Find and diagnose quality issues in the search pipeline.
- Design metrics 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 4+ years of experience as a data analyst or in a related role; strong coding skills to write production-grade code at a mid-level backend engineer level; proficiency with SQL and Python; and hands-on experience with at least one of: designing metrics from scratch (not just analyzing existing A/B experiments), building labeling pipelines using LLM-as-a-judge, training ML models shipped to production with measurable metric improvements, or designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals.
Required
- 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
- Hands-on experience with at least one of the listed areas: designing metrics from scratch (not just analyzing existing A/B experiments);...
Preferred
- Experience working on search-related products
- Knowledge of statistics and A/B experiment design
- Experience with Apache Spark or Databricks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Perplexity 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
About the company
Perplexity
Startup
Perplexity is an innovative technology company that specializes in developing advanced artificial intelligence solutions aimed at enhancing human-computer interaction. With a focus on natural language processing and machine learning, Perplexity empowers users to access information and insights more intuitively and efficiently. The company is dedicated to creating tools that simplify complex data and foster informed decision-making, thereby transforming the way individuals and organizations engage with knowledge. Through its commitment to excellence and user-centric design, Perplexity is shaping the future of information retrieval and analysis.