Uber - Sunnyvale, CA
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 excellent restaurants or grocery stores that meet their needs, while also serving as a gateway to explore the extensive selection available through UberEats. For merchants, the Feed provides a vital platform to showcase their products and connect with 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 these systems are efficient and effective. Additionally, you will work on improving the quality of the Feed Model ML, enhancing the Model Serving foundation, and refining the underlying Data foundation. Collaboration is key in this role, as you will engage with cross-functional and cross-team stakeholders to ensure alignment and success in your projects.