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14 DEC

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."

12 DEC

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.

7 DEC

Gleaning Insights from Uber’s Partner Activity Matrix with Genomic Biclustering and Machine Learning

Uber Engineering's partner activity matrix leverages biclustering and machine learning to better understand the diversity of user experiences on our driver app.

30 NOV

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.

20 NOV

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.

15 NOV

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.

10 NOV

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.

3 NOV

Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language

Pyro is an open source probabilistic programming language that unites modern deep learning with Bayesian modeling for a tool-first approach to AI.

2 NOV

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.

31 OCT

Turbocharging Analytics at Uber with our Data Science Workbench

Uber Engineering's data science workbench (DSW) is an all-in-one toolbox that leverages aggregate data for interactive analytics and machine learning.

30 OCT

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.

19 OCT

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.

17 OCT

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.

9 OCT

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering built AthenaX, our open source streaming analytics platform, to bring large-scale event stream processing to everyone.

5 OCT

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.

28 SEP

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.

26 SEP

Engineering Restaurant Manager, our UberEATS Analytics Dashboard

The UberEATS Restaurant Manager gives restaurant partners insight into their business by measuring customer satisfaction, sales, and service quality.

20 SEP

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.

14 SEP

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.

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