Machine Learning Engineer, Perplexity

• Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale
• Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines
• Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles
• For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects

Desirable

• Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics
• Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences
• Design the decision layer that balances competing objectives to produce the best overall experience for the user
• Build the data and evaluation foundations that let these systems learn and improve with usage
• Help shape the technical direction of ranking, recommendations, and personalization at Perplexity