Member of Technical Staff (ML Engineer, Recommendations & User Modeling)

Responsibilities

• Own the personalization and ranking behind key product surfaces to drive impact on core user and business metrics
• Build user modeling that captures intent, preference, and propensity
• Design the decision layer that balances competing objectives for the best user experience
• Build data and evaluation foundations to enable systems to learn and improve with usage
• Help shape the technical direction of ranking, recommendations, and personalization

Requirements

• Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale
• Strong ML fundamentals including engagement modeling, model calibration, and online experimentation
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines
• Taste and judgment for personalization in an LLM-native product

Preferred Qualifications

• Experience with large-scale ranking and training infrastructure (multi-stage retrieval, feature stores, real-time serving)
• Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling
• Prior experience setting technical direction for recommendation or ranking projects

About the Company

Perplexity builds AI for those who expect more, helping people find answers, make consequential decisions, and complete ambitious work through deeply personal AI experiences.