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
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
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways
Repeat. For curious people this is a cycle that never ends