Tag: Uber
Year in Review: 2017 Highlights from Uber Open Source
As we approach the New Year, Uber Open Source revisits some of Uber Engineering's most popular projects from 2017.
Welcoming the Era of Deep Neuroevolution
By leveraging neuroevolution to train deep neural networks, Uber AI Labs is developing solutions to solve reinforcement learning problems.
Unifying Mobile Onboarding Experiences at Uber
By unifying mobile onboarding experiences for our new rider app, Uber Engineering made it easier than ever before for users to "get moving."
Navigating the Engineering Interview Process at Uber & Beyond
Up for the challenge of developing at unprecedented scale? First, learn what it takes to master the technical interview process at Uber.
Denial By DNS: Uber’s Open Source Tool for Preventing Resource Exhaustion by DNS Outages
Uber Engineering built Denial by DNS, our open source solution for preventing DoS by DNS outages, to facilitate more reliable experiences on Uber's apps, no matter how users choose to access them.
Architecting Uber Support with Customer Obsession Engineering
Uber’s Customer Obsession team builds tools that make the customer support experience quicker and more seamless for users across our services.
Welcoming Peter Dayan to Uber AI Labs
Arriving now: Uber's Chief Scientist Zoubin Ghahramani introduces Uber AI Labs' newest team member, award-winning neuroscientist Peter Dayan.
Engineering Uber’s On-Call Dashboard
Uber Engineering's On-Call Dashboard provides real-time incident response, shift maintenance, and post-mortem analysis for an improved on-call experience.
Scaling Reliable Transportation for India: Meet Uber Bangalore Engineering
In this article, members of Uber Bangalore Engineering discuss their role in building reliable transportation systems at scale for India—and beyond.
Engineering NullAway, Uber’s Open Source Tool for Detecting NullPointerExceptions on Android
Uber Engineering built and open sourced NullAway, our fast and practical tool for eliminating NPEs, to help others deploy more reliable Android apps.
Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow
Uber Engineering introduces Horovod, an open source framework that makes it faster and easier to train deep learning models with TensorFlow.
Engineering a Million-Mile Journey with Uber ATG
Uber ATG's Poornima Kaniarasu shares how she found her "place" developing the machine learning technologies behind our self-driving vehicles.
How to Have Your Software Engineering Job and Eat It Too
Uber Engineering’s Aimee Lucido reflects on how she redefined her career as a software engineer through advocacy and writing.
My Site Reliability Engineering Internship Experience with Uber
What did you do this summer? In this article, intern Mitali Palekar reflects on her experience as a member of Uber's Site Reliability Engineering team.
How Uber Engineering’s Roche Janken Channels Creativity into Code
Uber's Roche Janken shares how her background as a dancer influences her approach to privacy engineering.
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
Uber Engineering introduces a new Bayesian neural network architecture that more accurately forecasts time series predictions and uncertainty estimations.
Meet Michelangelo: Uber’s Machine Learning Platform
Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.
Uber’s Ride with the Sun: Tracking the 2017 Solar Eclipse
Uber Engineering’s Data Visualization team uses their deck.gl and Voyager visualization platforms to map rider behavior during the August 21, 2017 solar eclipse.
IFTTT and Uber Open Up a New Category of Automation Magic
Newly launched Uber Applets on IFTTT enhance the ride experience for passengers.
Unpacking the Android Bundle with AutoValue Extensions at Uber Engineering
Uber Engineering's new open source tool, AutoValue: Bundle Extension, decreases the likelihood of encountering bugs by enabling Android engineers to quickly unbundle data into value classes.
