Perplexity
Full TimeThis role involves improving search quality in ranking systems, owning problems from evaluation through deployment. You'll train and evaluate retrieval and ranking models, build ranking infrastructure including feature computation and low-latency inference, and make tradeoffs across quality, latency, and cost. The position requires five years of industry experience, deep knowledge of search or recommender systems, and exceptional depth in either neural ranking methods or low-latency production systems. You'll work across data, AI, infrastructure, and product teams while retaining ownership of quality outcomes.
Written from this posting by Neural Jobs AI. The full description is below.
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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Perplexity is an AI-powered answer engine that combines large language models with real-time web retrieval to give direct, cited answers to questions.
Founded in 2022, it positions itself as a conversational alternative to traditional search.
Serbia
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