Machine Learning Engineer (Member of Technical Staff, Recommendations & User Modeling)

Join Perplexity as a Machine Learning Engineer, where you will own the personalization and ranking behind key product surfaces, build user modeling, design the decision layer, and establish data and evaluation foundations. You will also help shape the technical direction of ranking, recommendations, and personalization at Perplexity.

• Posséder la personnalisation et le classement derrière les surfaces clés du produit pour rendre Perplexity plus utile et avoir un impact sur les métriques utilisateur et commerciales.
• Construire un modèle utilisateur qui capture l'intention, la préférence et la propension, et qui alimente des expériences plus pertinentes et plus personnalisées.
• Concevoir la couche de décision qui équilibre les objectifs concurrents pour produire la meilleure expérience globale pour l'utilisateur.
• 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
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines
• 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
• 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)