Member of Technical Staff (Machine Learning Engineer, Ranking Quality, Search)
Posted Updated
- Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking
- 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
- 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
- Ability to drive ambiguous, cross-team problems without continuous task decomposition
- 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
- Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime
- Minimum 5 years of relevant industry experience
- Strong machine-learning and software-engineering skills across data, models, serving, and monitoring