Machine Learning Engineer (Member of Technical Staff, Recommendations & User Modeling)
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Perplexity AI Machine Learning Engineer (Member of Technical Staff, Recommendations & User Modeling)
- 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
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving)