Member of Technical Staff
ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.
About the job
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.
Skills
Machine Learning, Recommendation Systems, Ranking Systems, Personalization, LLMs, Engagement Modeling, Model Calibration, Online Experimentation, Multi-Stage Retrieval, Feature Stores, Real-Time Serving
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