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

Perplexity is seeking experienced ML engineers to design, build, and optimize recommendation systems for its AI-powered platform. The role focuses on personalization and user modeling to deliver deeply tailored experiences using frontier LLMs and real-time data.

• Own the personalization and ranking behind key product surfaces to improve user and business metrics.
• Build user modeling that captures intent, preference, and propensity for personalized experiences.
• Design decision layers that balance competing objectives for optimal user experiences.
• Build data and evaluation foundations for continuous learning and improvement.
• Help shape the technical direction of ranking, recommendations, and personalization.

• Deep hands-on experience building production recommendation, ranking, or personalization systems at scale.
• Strong ML fundamentals covering engagement modeling, calibration, offline/online metrics, and experimentation.
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
• Taste and judgment for personalization in an LLM-native product.
• For tech leadership: prior experience setting technical direction for recommendation/ranking projects.