Skip to footer

Enhancing front-end and back-end experiences

Seattle, USA

Uber is changing the way cities move globally through our transportation and mobility solutions. Located blocks from the iconic Pike Place Market, Uber Seattle furthers our core business objectives across product and platform teams through product, engineering, and operations. The Uber Seattle Engineering teams build technologies that power our driver and rider apps, developer platform, Big Data architecture, and machine learning tools, including Horovod, an open source deep learning framework.

Announcements

Articles

Celebrating International Women’s Day: Meet the Women Building Uber’s Global Platform

Celebrating International Women’s Day: Meet the Women Building Uber’s Global Platform

To celebrate International Women's Day, we spoke with women from across the company whose work helps deliver impactful experiences for Uber users worldwide.
Uber Open Source in 2019: Community Engagement and Contributions

Uber Open Source in 2019: Community Engagement and Contributions

Uber recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
Three Approaches to Scaling Machine Learning with Uber Seattle Engineering

Three Approaches to Scaling Machine Learning with Uber Seattle Engineering

At an April 2019 meetup on ML and AI at Uber Seattle, members of our engineering team discussed three different approaches to enhancing our ML ecosystem.
Uber Open Source: Catching Up with Felix Cheung, Data Platform Engineering Manager

Uber Open Source: Catching Up with Felix Cheung, Data Platform Engineering Manager

Uber Engineering Manager and open source software community member Felix Cheung talks about his work with the Apache Software Foundation, open source at Uber, and XGBoost, a machine learning library for optimized distributed gradient boosting.
NVIDIA: Accelerating Deep Learning with Uber’s Horovod

NVIDIA: Accelerating Deep Learning with Uber’s Horovod

Horovod, Uber's open source distributed deep learning system, enables NVIDIA to scale model training from one to eight GPUs for their self-driving sensing and perception technologies.

Team Member Spotlight

Martin Tromblee

Senior Engineering Manager

"It's extremely rewarding to be part of a global organization that values people, technology, and what happens when the two come together. 

As a proud member of the Uber Freight team, I am bringing the technology and scale of Uber to an industry that has lagged behind for so many years. I can sincerely say that we are making a meaningful and positive impact on the day-to-day lives of the truck drivers and shippers who need their products moved.

I feel fortunate to be able to do this in Seattle, collaborating with an amazing group of talented individuals, all while having the beauty of the Pacific Northwest at our doorstep."

Wei Fu

Senior Engineering Manager

"It is exciting being part of the Uber EngSec team, where we are always learning, proving, and validating as a business. That creates challenges, but for the most part they are valuable learning opportunities for all.  

I am always amazed and motivated by the social impact Uber can bring to the table, offering instantaneous options on how one can design a work/life balance that meets their own personal and family goals. To me that means more opportunity to achieve equality. Excellent engineering is not only required to provide a stable and scalable transportation infrastructure platform, but also a cost-effective one.

Finally, I am inspired by Uber engineering culture - the legacy that makes Uber the brand what it is today. Culture takes its own shape or form and it’s up to us to further define it—we shall continue to be strong believers of 'Go Get It' as 'One Uber.'"

Kendall Avery

Senior UX Researcher

"I’m a User Experience Researcher for Rider Mobility. Before the pandemic I spent most of my free time traveling or going to concerts and festivals, but over the past year and a half I’ve spent more time hiking, skiing, and enjoying the great outdoors in the PNW!

As a UX Researcher, I speak with our customers to understand how they use our products so that we can design and build the best experiences for them. I joined Uber a year and a half ago because I was looking for an opportunity to work on products that directly impact the lives of people everywhere, every day. One of the reasons that I love being a researcher is the fact that I get to understand the problems that people face and help to be part of the solution. As an avid Uber rider myself, it’s so fulfilling to see the impacts of my work and the work of my teammates every time I order a ride."

Uber Engineering Global Offices