Stay up to date with the latest from Uber Engineering

Data / ML

Data / Machine Learning

Data / ML, Engineering

Horovod v0.21: Optimizing Network Utilization with Local Gradient Aggregation and Grouped Allreduce

November 24, 2020 / Global

Data / ML, Engineering

Turning Metadata Into Insights with Databook

November 10, 2020 / Global

Data / ML, Engineering

Operating Apache Pinot @ Uber Scale

October 20, 2020 / Global

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Stay up to date with the latest from Uber Engineering

Data / ML, Engineering

Revolutionizing Money Movements at Scale with Strong Data Consistency

October 2, 2020 / Global

Uber AI, Data / ML

Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning

June 2, 2020 / Global

Data / ML

Monitoring Data Quality at Scale with Statistical Modeling

May 7, 2020 / Global

Engineering, Data / ML

Dragon: Schema Integration at Uber Scale

March 3, 2020 / Global

Uber AI, Data / ML

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

February 13, 2020 / Global

Culture, Data / ML

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

January 28, 2020 / Global

Data / ML

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

January 23, 2020 / Global

Data / ML, Engineering

Engineering SQL Support on Apache Pinot at Uber

January 15, 2020 / Global

Engineering, Data / ML, Web

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

January 2, 2020 / Global

Data / ML, Engineering

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

December 17, 2019 / Global

Data / ML, Engineering

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

December 10, 2019 / Global

Data / ML, Engineering

Uber Visualization Highlights: How Urban Symphony Adds an Audio Dimension to Visualization

November 20, 2019 / Global

Data / ML, Engineering

Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl

October 29, 2019 / Global

Data / ML, Engineering

Building a Better Big Data Architecture: Meet Uber’s Presto Team

October 9, 2019 / Global

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Data / ML

Horovod v0.21: Optimizing Network Utilization with Local Gradient Aggregation and Grouped Allreduce

Turning Metadata Into Insights with Databook

Operating Apache Pinot @ Uber Scale

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

Revolutionizing Money Movements at Scale with Strong Data Consistency

Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning

Monitoring Data Quality at Scale with Statistical Modeling

Dragon: Schema Integration at Uber Scale

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

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

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

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

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

Uber Visualization Highlights: How Urban Symphony Adds an Audio Dimension to Visualization

Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl

Building a Better Big Data Architecture: Meet Uber’s Presto Team

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