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Member of Technical Staff (Search Quality Analyst)

Join Perplexity AI as a Search Quality Analyst to enhance core search technologies through data analysis and engineering.

Location
Belgrade
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 1 week ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Perplexity AI → Save job Scanned from perplexity.ai

Skills & Technologies

Role intensity

70% hands-on coding

AI in the day-to-day

Building labeling pipelines using LLM-as-a-judge.

Requirements

Experience
4+ years

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In this role, the analyst focuses on enhancing search technologies by diagnosing quality issues and designing metrics to measure performance. Key skills include strong coding abilities in Python and SQL, along with experience in building data pipelines and training machine learning models. This position is ideal for someone with over four years of experience in data analysis or a related field, particularly those with a background in search-related products. The team is dedicated to refining search quality, making it a pivotal role in the company's growth.

Joblaze insights

Quick facts

Is the Member of Technical Staff (Search Quality Analyst) role remote?
It's hybrid — Perplexity AI expects some on-site time in Belgrade.
How much experience is required?
At least 4 years of relevant experience for this Member of Technical Staff (Search Quality Analyst) role.
Where is the role based?
Perplexity AI is hiring for this position in Belgrade.
What's the tech stack?
Joblaze extracted these technologies from the posting: Apache Spark, Databricks, Python, SQL.
What seniority level is this role?
Perplexity AI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Member of Technical Staff (Search Quality Analyst) role at Perplexity AI.

From the original posting

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

Preferred Qualifications

  • Experience working on search-related products

  • Knowledge of statistics and A/B experiment design

  • Experience with Apache Spark or Databricks