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

**Company**: Perplexity
**Location**: Belgrade
**Experience**: senior
**Job type**: Full time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/perplexity/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fa1e69bf-bfc

## Description

Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking.

**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.

## Skills

### Required
- machine learning
- ranking systems
- neural networks
- software engineering
- data evaluation

### Nice to have
- neural ranking methods
- low-latency ranking systems
- LLM-based approaches

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/perplexity/19d8bcfd-e493-4b3a-b8fd-11a2a6502da2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)