Stay up to date with the latest from Uber Engineering

Data / ML

Data / Machine Learning

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

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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

Culture, Data / ML

Science at Uber: Making a Real-world Impact with Data Science

August 20, 2019 / Global

Data / ML, Engineering

Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

August 14, 2019 / Global

Culture, Data / ML

Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping

August 6, 2019 / Global

Culture, Data / ML

Science at Uber: Bringing Research to the Roads

July 30, 2019 / Global

Data / ML

Science at Uber: Building a Data Science Platform at Uber

July 23, 2019 / Global

Data / ML, Engineering

Making Apache Spark Effortless for All of Uber

July 17, 2019 / Global

Data / ML, Engineering

Visualizing City Cores with H3, Uber’s Open Source Geospatial Indexing System

July 8, 2019 / Global

Uber AI, Data / ML

Gaining Insights in a Simulated Marketplace with Machine Learning at Uber

June 24, 2019 / Global

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Data / ML

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

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

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

Science at Uber: Making a Real-world Impact with Data Science

Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping

Science at Uber: Bringing Research to the Roads

Science at Uber: Building a Data Science Platform at Uber

Making Apache Spark Effortless for All of Uber

Visualizing City Cores with H3, Uber’s Open Source Geospatial Indexing System

Gaining Insights in a Simulated Marketplace with Machine Learning at Uber

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