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

- Company: Perplexity
- Role group: Search
- Location: Belgrade
- Type: FullTime
- Remote: no
- Posted: 2026-08-12
- Status: active
- Apply: https://jobs.ashbyhq.com/perplexity/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2?ref=companies-hiring.click

## Description

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

 - Relentlessly 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.

 - Minimum 5 years of relevant industry experience.
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