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Tag: Uber Engineering

Architects of Infrastructure: Meet Uber Aarhus Engineering

Get to know Uber Aarhus Engineering and the work they do behind the scenes to build and maintain our storage and compute platforms.

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.

Year in Review: 2017 Highlights from the Uber Engineering Blog

To ring in the New Year, the Uber Engineering Blog shares some of our editor's picks for 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."

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.

Reliability at Scale: Engineering an Uneventful New Year’s Eve

How does Uber keep New Year's Eve and other high traffic events...well, uneventful? By keeping our networks extensible and our services reliable year-round.

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 More Reliable Transportation with Machine Learning and AI at Uber

In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.

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

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.

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