Perplexity AI
Member of Technical Staff (ML Engineer, Recommendations & User Modeling)
San Francisco · Staff+
Sponsorship not specifiedDetected 46 days ago
Machine LearningLLMsResearchLeadership
About the role
- Across these use cases, the Perplexity experience must feel deeply personal.
- Great recommendations and user understanding are central to delighting and delivering for each user.
- Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems.
Responsibilities
- 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.
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- They question the status quo in their own expertise and they constantly learn outside of it.
Requirements
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
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.
- Perplexity's mission is to power curiosity.
- Learn: curious people constantly learn new things by asking more.
- Research is essential to them and never ending.
- They must have armies of agents and workers who can constantly work in millions of small ways.
- For curious people this is a cycle that never ends.
Skills
- They take action on what they've learned.
Company info
- Curious people are the people who drive change in the world.
- Driving change is a continuous cycle of learning, building, and integrating.
- Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned.
- 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.
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This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.