We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role
As a machine learning algorithms engineer you will be designing supervised, semi-supervised, active learning, and unsupervised algorithms for solving perception, prediction, tracking, and motion planning problems to bring self-driving car features to life. This is your chance to develop state of the art technology that will help change the future of transportation around the world!
What You'll Do
What You'll Need
Bonus Points If
About the Team
At the Advanced Technologies Group (ATG), we are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, Phoenix, and Toronto are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. Our teams are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.
We are passionate about designing machine learning algorithms and applying them to solve real-world problems. We focus on areas such as computer vision, perception, and deep neural networks to help make self-driving cars a reality.