Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Perplexity2 months ago
Berlin, Germany or London, United KingdomSenior
Responsibilities
- Improve search quality through models, data, evaluation, infrastructure, and other available leverage.
- Own ranking-quality problems end to end by defining evaluations, identifying bottlenecks, building solutions, and shipping them safely.
- Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches when appropriate.
- 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 teams while retaining ownership of 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-problem domain.
- 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 modern neural ranking methods or low-latency ranking systems and runtime.
- At least five years of relevant industry experience.
Categories
About Perplexity
Perplexity builds an AI-powered answer engine for web and mobile and an enterprise product, Perplexity Computer, for AI-driven workflows across tools and apps. The company monetizes through individual subscriptions (Perplexity Pro) and enterprise plans. Founded in 2022 and headquartered in San Francisco, it operates as a privately held company.