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Building locally, scaling globally

San Francisco, USA

Uber is changing the way cities move globally through our transportation and mobility solutions. The work of our San Francisco and Palo Alto engineering, data science, product, design, and research teams is rooted in our company mission: igniting opportunity by setting the world in motion. From the front-end to the back-end, our products and services leverage cutting edge technologies such as AI, computer vision, and automation to power safer, seamless, and more reliable transportation options for users across the globe.

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Engineering SQL Support on Apache Pinot at Uber

Engineering SQL Support on Apache Pinot at Uber

We engineered full SQL support on Apache Pinot to enable quick analysis and reporting on aggregated data, leading to improved experiences on our platform.
Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning

First introduced by Uber Engineering in January 2019, Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models.
Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

Uber Visualization Highlights: Displaying City Street Speed Clusters with SpeedsUp

As part of Uber Visualization's all-team hackathon, we built SpeedsUp, a project using machine learning to process average speeds across a city, cluster the results, and overlay them on a street map.
Uber Open Source in 2019: Community Engagement and Contributions

Uber Open Source in 2019: Community Engagement and Contributions

Uber recounts its many engagements with the open source community during 2019, from contributing projects to joining and founding new open source support organizations.
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

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

Developed by Uber AI Labs, Generative Teaching Networks (GTNs) automatically generate training data, learning environments, and curricula to help AI agents rapidly learn.

Uber Engineering Global Offices