About the Role As Sr Engineering Manager for the Feed ML team, you will join a team dedicated to using cutting-edge machine learning and AI to create an Uber Eats feed experience that feels intuitive and personalized for millions of consumers around the world. Your mission will be to ensure that consumers always feel understood, with the app effortlessly anticipating their needs—whether they’re looking for a quick lunch, planning a group dinner, or discovering new cuisines they didn’t even know they’d love. In this role, you will collaborate closely with product managers, data scientists, and cross-functional teams to design scalable systems that enable a seamless, intelligent feed experience. You'll focus on helping users discover the right food and grocery options tailored to their context, unlocking new possibilities and ensuring Uber Eats is there for them at every step of their journey. This will be powered by building ML models and infrastructure staying at the cutting edge of ML/AI research in the industry. This is an exciting opportunity to be part of a broader Uber Eats ML team with a far-reaching mission to personalize many aspects of the app and make Uber Eats feel like a personal food concierge that’s always one step ahead. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.