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Advancing AI: A Conversation with Jeff Clune, Senior Research Manager at Uber

We sat down with Jeff Clune, Senior Research Manager, to talk about his work in AI, journey to Uber, and Presidential Early Career Achievement in Science and Engineering (PECASE) award.

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

Suzette Puente, Uber Data Science Manager, shares how she applies her graduate work in statistics to forecast traffic patterns and generate better routes.

Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

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Data science helps Uber determine which tables in a database should be off-boarded to another source to maximize the efficiency of our data warehouse.

Science at Uber: Applying Artificial Intelligence at Uber

Zoubin Ghahramani, Head of Uber AI, discusses how we use artificial intelligence techniques to make our platform more efficient for users.

Enabling Collaboration through Open Source: Highlights from Uber Open Summit Sofia 2019

At the Uber Open Summit Sofia 2019, we showcased how open source technologies are driving the future of artificial intelligence, site reliability, and other domains.

Migrating Functionality Between Large-scale Production Systems Seamlessly

With zero downtime, Uber's Payments Engineering team embarked on a migration that would allow authorization hold logic to be written once and used across existing and future payments products.

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

Dawn Woodard, Director of Data Science, considers travel time prediction one of Uber's most interesting mapping problems.

Science at Uber: Bringing Research to the Roads

Uber Principal Engineer Waleed Kadous discusses how we assess technologies our teams can leverage to improve the reliability and performance of our platform.

Introducing Uber Poet, an Open Source Mock App Generator for Determining Faster Swift Builds

Uber Poet, an open source mock application generator, helped us determine if refactoring the application part of our code into a few large modules would make our overall Swift build times faster.

Building a More Seamless Web Booking Flow for Uber

Web-based Uber app
We redesigned Uber's web-based booking flow for riders who prefer a browser over the app, simplifying pickup options and speeding up interactivity.

Showcasing the Technologies and Teams from Uber’s European Engineering Sites

During our 2019 Uber European Technology Showcase, technical teams across the company discussed how we build products that drive safe and reliable transportation.

Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox

Ludwig version 0.2 integrates with Comet.ml, adds a new serving functionality, and incorporates the BERT text encoder, among other new features.

Science at Uber: Building a Data Science Platform at Uber

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Uber Director of Data Science Franziska Bell discusses how we created data science platforms at Uber, letting employees of all technical skills perform forecasts and analyze data.

Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution

Uber AI Labs releases EvoGrad, a library for catalyzing gradient-based evolution research, and Evolvability ES, a new meta-learning algorithm enabled by this library.

Making Apache Spark Effortless for All of Uber

Chinese Water Dragon photo by InspiredImages/Pixabay
Uber engineers created uSCS, a Spark-as-a-Service solution that helps manage Apache Spark jobs throughout large organizations.

Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform

The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.

MoneyCon ’19: Uber Hosts its First FinTech Engineering Conference

Uber's MoneyCon brought together industry leaders to discuss the latest technologies and key learnings in the payments and finance engineering space.

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

In a selection of presentations delivered at a June 2019 Uber meetup, we discuss how to use H3, our open source hexagonal indexing system, to facilitate the granular mining of large geospatial data sets.

Solving for Urban Air Travel: A Q&A with François Sillion, Director of Uber ATCP

As head of Uber's Advanced Technologies Center in Paris, Francois Sillion and his team are responsible for supporting the R&D behind Uber Air, our effort to add a third dimension to our platform using flying vehicles.

Gaining Insights in a Simulated Marketplace with Machine Learning at Uber

Uber's Marketplace simulation platform leverages ML to rapidly prototype and test new product features and hypotheses in a risk-free environment.

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