Staff Machine Learning Engineer Full-time

About the Role

The Airports Data team aims to capture every aspect of user experience at airports to find business opportunities, consistently measure reliability and improve prediction-driven features.

This year, we are focused on improving reliability in Airports. We plan to do this by attracting more drivers to the airport, while also ensuring that these drivers leave with a trip once at the airport. To enable this, we are working on improving visibility to drivers and pricing & incentives using forecasts. The Airports Data team aims to provide high-quality data with good coverage to enable these forecasts.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).