# Member of Technical Staff (Search Crawler Analyst) at Perplexity

> Hybrid · Serbia · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aperplexity%3Ac20486f5-1e9c-436c-ba67-dc69842c221c (read 2026-11-05).

## Facts (observed)

- Company: [Perplexity](https://alderhq.app/companies/perplexity)
- Location text: Belgrade; London; Berlin
- Where it can be done from (inferred): Hybrid · Serbia (evidence: "Location: Belgrade; London; Berlin")
- Posted: 2026-10-08 (28 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/perplexity/c20486f5-1e9c-436c-ba67-dc69842c221c
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 19): p25 £136k, median £155k, p75 £199k

## Description (the employer's text)

The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. 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.

### Responsibilities

Find and diagnose quality issues in our crawling pipeline

Train small models that optimize particular aspects of the pipeline (e.g. parsing quality)

Build datasets for model training, including LLM-as-a-judge labeling pipelines

Improve page selection algorithms for indexing

Design and analyze experiments to validate improvements

### Qualifications

4+ years of experience as a data analyst, ML engineer, or in a related role

Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer

Experience designing metrics from scratch

Experience training ML models that shipped to production with measurable metric improvements

### Nice to have

Direct experience working on web crawling or indexing pipelines

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aperplexity%3Ac20486f5-1e9c-436c-ba67-dc69842c221c and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
