Member of Technical Staff

What you'll do

• 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.

What we're looking for

• 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.

Nice to have

• Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
• Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.