Hiring: Member of Technical Staff (ML Engineer, Recommendations & User Modeling) Company: Perplexity Location: San Francisco, CA Job Posted Time: 2026-09-02 18:04:43 Target Skills & Keywords : Feature Store, HBase, LLM, Make About the job Required Skills: •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. Qualifications: •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. •: curious people constantly learn new things by asking more. They question the status Compensation: •$220,000 •$405,000 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!