**About the Role** The UberEats Feed is the front door to our platform. It serves a vital role helping users find relevant merchants, discover new use cases and explore our selection. For merchants, it is the main surface on which they get showcased to potential customers. The Feed Science team’s work is diverse: algorithm design, product analytics and statistical modeling that generate insights to inform strategy. Example projects include design and building the algorithms that improve the Feed’s personalization power, and building econometric models that help us understand the long term implications of our investments. For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 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.