Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Perplexity · London
2 months ago
Not specifiedFull_timesearch rankinginformation retrievalrecommender systems
2 months ago
Workplace
Not specified
Employment
Full_time
Location
London
Posted
2 months ago
Summary
Perplexity is hiring an experienced machine learning engineer to improve search quality across middle and later ranking stages. The role focuses on training and evaluating ranking models, building low-latency production infrastructure, and owning quality problems end to end; the working arrangement is not specified.
Responsibilities
- Improve search quality across ranking stages
- Define evaluations and identify ranking bottlenecks
- Train retrieval, ranking, and classification models
- Build low-latency multi-stage ranking infrastructure
- Deploy and monitor production ranking systems
- Balance quality, latency, reliability, and cost
machine learningretrieval modelsranking modelsclassification modelsneural rankingllm-based approachesfeature computationlow-latency inferencemulti-stage cascadesmodel evaluationmonitoring
search rankinginformation retrievalrecommender systemssearch quality evaluationmachine learning infrastructurelow-latency model serving
