Engineering

The technology behind Uber Engineering

Engineering

Introducing Uber’s Open Source Principles

5 March 2020 / Global

Uber AI

Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles

4 March 2020 / Global

Engineering, Data / ML

Dragon: Schema Integration at Uber Scale

3 March 2020 / Global

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Culture

Profiles in Coding: Rick Boone, Core Infrastructure, San Francisco

27 February 2020 / Global

Engineering

Tricks of the Trade: Tuning JVM Memory for Large-scale Services

26 February 2020 / Global

Culture, Engineering

Building the Future of Mobility from the Pacific Northwest: Meet the Uber Seattle Tech Team

18 February 2020 / Global

Uber AI, Data / ML

Building a Backtesting Service to Measure Model Performance at Uber-scale

13 February 2020 / Global

Engineering, Web

Counting Calories: How We Improved the Performance and Developer Experience of UberEats.com

12 February 2020 / Global

Culture, Data / ML

Women in Data Science at Uber: Moving the World With Data in 2020—and Beyond

28 January 2020 / Global

Data / ML

Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing

23 January 2020 / Global

Data / ML, Engineering

Engineering SQL Support on Apache Pinot at Uber

15 January 2020 / Global

Engineering

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

7 January 2020 / Global

Engineering, Data / ML, Web

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

2 January 2020 / Global

Engineering

Uber Open Source in 2019: Community Engagement and Contributions

20 December 2019 / Global

Engineering

Year in Review: 2019 Highlights from the Uber Engineering Blog

19 December 2019 / Global

Engineering

Uber Infrastructure in 2019: Improving Reliability, Driving Customer Satisfaction

19 December 2019 / Global

Uber AI

Uber AI in 2019: Advancing Mobility with Artificial Intelligence

18 December 2019 / Global

Page 15

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Engineering

Introducing Uber’s Open Source Principles

Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles

Dragon: Schema Integration at Uber Scale

Interested in joining Uber Eng?

Profiles in Coding: Rick Boone, Core Infrastructure, San Francisco

Tricks of the Trade: Tuning JVM Memory for Large-scale Services

Building the Future of Mobility from the Pacific Northwest: Meet the Uber Seattle Tech Team

Building a Backtesting Service to Measure Model Performance at Uber-scale

Counting Calories: How We Improved the Performance and Developer Experience of UberEats.com

Women in Data Science at Uber: Moving the World With Data in 2020—and Beyond

Designing a Production-Ready Kappa Architecture for Timely Data Stream Processing

Engineering SQL Support on Apache Pinot at Uber

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

Uber Open Source in 2019: Community Engagement and Contributions

Year in Review: 2019 Highlights from the Uber Engineering Blog

Uber Infrastructure in 2019: Improving Reliability, Driving Customer Satisfaction

Uber AI in 2019: Advancing Mobility with Artificial Intelligence

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