Senior Machine Learning Engineer, Rider

The Aura team powers a real-time ML engine personalizing the booking experience for millions of riders. By predicting preferences and recommending Rides products, it drives conversion using hundreds of marketplace and historical features and generates billions in incremental revenue. We stay at the forefront of innovation by employing cutting-edge techniques like multi-task learning, sequence modeling, and transformers, applying statistical and operations research principles globally. Sitting at the center of the conversion funnel, we collaborate closely with scientists and product managers at the intersection of economics and infrastructure. The Rider Intelligence team owns various machine learning models that power the personalization of the Uber app. As a software engineer, you will work with Machine Learning Engineers (MLEs) to deploy and enhance these models—such as sequential recommendation systems—to improve the user experience and business metrics. We are looking for software engineers who have a strong foundation in distributed systems and are eager to learn the ML/data science domain.