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

Highlights

• Own personalization and ranking behind key Perplexity product surfaces.
• Build user modeling to power more relevant, personalized experiences.
• Shape technical direction of ranking and personalization at Perplexity.

What they offer

• Equity

Ideal candidate

Hands-on ML builder energized by personalization and product craftsmanship, eager to own ranking end-to-end and reimagine recommendations from first principles for curious users.

Requirements

• 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, prior experience setting technical direction for recommendation/ranking projects