Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Perplexityabout 3 hours ago
Responsibilities
- Improve search quality through models, data, evaluation, infrastructure, and other available levers.
- 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 across Data, AI, Infrastructure, and Product 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 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 five years of relevant industry experience.
About Perplexity
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.