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Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Search Ranking): Improving search quality across middle- and later-stage ranking with an accent on retrieval, ranking, classification, and neural or LLM-based models. Focus on building low-latency multi-stage ranking infrastructure, solving quality and runtime trade-offs, and safely deploying and monitoring production systems.
Location: Belgrade, Berlin, or London
Company
Perplexity develops an AI-powered search product.
What you will do
- Improve search quality across the middle and later stages of ranking.
- Own ranking-quality problems end to end, from evaluation and bottleneck identification through implementation and safe release.
- Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches.
- Build and operate ranking infrastructure for feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
- Balance quality, latency, reliability, cost, and engineering complexity.
- Collaborate with Data, AI, Infrastructure, and Product while owning the final quality outcome.
Requirements
- Deep understanding of search or recommender systems and their evaluation.
- Proven ownership of a large-scale production ranking system or substantial quality problems.
- Strong machine-learning and software-engineering skills across data, models, serving, and monitoring.
- Ability to drive ambiguous, cross-team problems independently.
- Exceptional depth in modern neural ranking methods or low-latency ranking systems and runtime.
- At least 5 years of relevant industry experience.
Culture & Benefits
- Full-time role in the Search department.
- Cross-functional collaboration across Data, AI, Infrastructure, and Product.
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