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 recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
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 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.
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.
Get to know Uber's Developer Experience team, a group of writers, educators, and technologists dedicated to setting our engineers up for success.
In this article we take a look inside the Uber Engineering Seattle office, meet a few of the leaders, and learn about the culture and technologies the teams are working on.