About the company
Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking.
Responsibilities
- Relentlessly push search quality forward through models, data, evaluation, infrastructure
- 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
- 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
Requirements
- Deep understanding of search or recommender systems and their evaluation
- Proven ownership of a large-scale production ranking system
- Strong machine-learning and software-engineering skills across data, models, serving, and monitoring
- Ability to drive ambiguous, cross-team problems
- Exceptional depth in either modern neural ranking methods or low-latency ranking systems
- Minimum 5 years of relevant industry experience