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Python Engineer






San Francisco, CA, US


About Uber

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

The Perception Team's mission is to deliver deep learning based features that will contribute short term to both the car and truck programs, while developing solutions for the future of self-driving.
What You’ll Do
Develop infrastructure systems that support training and evaluation of deep learning algorithms used by self-driving vehicles
Deal with large quantities of sensor data recorded by ATG vehicle fleet using large compute clusters for processing
Collaborate with senior deep learning researchers and engineers in autonomy

What You’ll Need
Degree in an engineering or computer science related discipline or equivalent work experience
Minimum 5 years of hands on experience developing production quality software using python
Comfortable working in a Linux environment
Strong knowledge and experience with C++

Bonus Points If
Knowledge of computer vision and machine learning fundamentals

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.

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