Uber - Seattle, WA
posted 2 months ago
The UberEats Feed is a critical component of our service, acting as the primary interface for users and merchants alike. For users, the Feed is designed to help them discover the best restaurants and grocery stores that meet their needs, while also providing a gateway to explore the extensive selection available through UberEats. For merchants, the Feed serves as the main platform to showcase their products and attract potential customers. As a Machine Learning Engineer in this role, you will tackle a variety of open-ended, challenging, and impactful problems that directly influence the user experience and merchant visibility. In this position, you will innovate and productionize state-of-the-art recommendation models tailored specifically for Uber's unique use cases. You will be responsible for designing and building large-scale machine learning systems that power the HomeFeed Recommendation, ensuring that our users receive the most relevant and personalized suggestions. Additionally, you will work on improving the quality of the Feed Model ML, enhancing the model serving foundation, and strengthening the underlying data infrastructure. Collaboration will be key, as you will engage with cross-functional teams and stakeholders to align on objectives and deliver impactful solutions.