Member of Technical Staff (ML Engineer, Recommendations & User Modeling)Active$220K–$405K
The opportunity
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
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 they'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.
