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

> Serbia · Staff · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aperplexity%3A19d8bcfd-e493-4b3a-b8fd-11a2a6502da2 (read 2026-11-04).

## Facts (observed)

- Company: [Perplexity](https://alderhq.app/companies/perplexity)
- Location text: Belgrade; London
- Where it can be done from (inferred): Serbia (evidence: "Location: Belgrade; London")
- Posted: 2026-08-12 (84 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/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 21): p25 £88k, median £153k, p75 £315k

## Description (the employer's text)

Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aperplexity%3A19d8bcfd-e493-4b3a-b8fd-11a2a6502da2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.