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Culture, Engineering

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

18February,2020 / Global

Uber AI, Data / ML

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

13February,2020 / Global

Engineering, Web

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

12February,2020 / Global

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Stay up to date with the latest from Uber Engineering

Culture, Data / ML

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

28January,2020 / Global

Data / ML

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

23January,2020 / Global

Data / ML, Engineering

Engineering SQL Support on Apache Pinot at Uber

15January,2020 / Global

Engineering

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

7January,2020 / Global

Engineering, Data / ML, Web

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

2January,2020 / Global

Engineering

Uber Open Source in 2019: Community Engagement and Contributions

20December,2019 / Global

Engineering

Year in Review: 2019 Highlights from the Uber Engineering Blog

19December,2019 / Global

Engineering

Uber Infrastructure in 2019: Improving Reliability, Driving Customer Satisfaction

19December,2019 / Global

Uber AI

Uber AI in 2019: Advancing Mobility with Artificial Intelligence

18December,2019 / Global

Uber AI

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

18December,2019 / Global

Data / ML, Engineering

Uber’s Data Platform in 2019: Transforming Information to Intelligence

17December,2019 / Global

Data / ML, Engineering

Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

10December,2019 / Global

Engineering, Uber AI

Controlling Text Generation with Plug and Play Language Models

5December,2019 / Global

Uber AI, Engineering

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

4December,2019 / Global

Page 18

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English 简体中文

Engineering

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

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

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

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Uber’s Data Platform in 2019: Transforming Information to Intelligence

Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

Controlling Text Generation with Plug and Play Language Models

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

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