Meet Uber Sofia’s Women in Tech

Uber Sofia is also home to a vibrant community of women technologists, from software engineers and data analysts to designers and program managers.

Introducing AVS, an Open Standard for Autonomous Vehicle Visualization from Uber

Rendered image of street and vehicles
Uber announces the release of the Autonomous Visualization System (AVS) as an open source project. AVS is a standard for creating a visual environment based on sensor data from autonomous vehicles, with playback available in multiple formats, including the web and video.

Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language

Censored time-to-event data is critical to the proper modeling and understanding of customer engagement on the Uber platform. In this article, we demonstrate an easier way to model this data using Pyro.

Engineering Uber Beacon: Matching Riders and Drivers in 24-bit RGB Colors

Uber Beacon app screen
In our ongoing series about rewriting the Uber driver app, engineer Kevin Babcock explains how we built the connection between the app and the Uber Beacon device, which displays a color remotely selected through a rider's app.

First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL

The Uber Science Symposium featured talks from members of the broader scientific community about the the latest innovations in RL, NLP, and other fields.

Introducing Ludwig, a Code-Free Deep Learning Toolbox

Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.

Why Financial Planning is Exciting… At Least for a Data Scientist

Model flow showing rider and driver sign-ups
In this article, Uber’s Marianne Borzic Ducournau discusses why financial planning at Uber presents unique and challenging opportunities for data scientists.

Building Locally, Scaling Globally: Meet the Tech Team at Uber New York City

Ever wondered what it’s like to work in tech at Uber New York City? Just blocks from Times Square and Bryant Park, Uber’s new office in midtown Manhattan is home to more than a dozen teams, hundreds of employees (and growing), and a wide variety of engineering roles.

Increasing Representation at Uber through The Hidden Genius Project

Collage showing members and mentors for the Career Prep Program
In its first year, the Career Prep Program, a collaboration between Uber and The Hidden Genius Project, demonstrated how technology-focused companies can embrace and reinforce values of diversity and inclusion among engineers, while having a positive impact in the community.

Introducing AresDB: Uber’s GPU-Powered Open Source, Real-time Analytics Engine

AresDB, Uber's open source real-time analytics engine, leverages GPUs to enable real-time computation and data processing in parallel.

How Uber Leverages Applied Behavioral Science at Scale

Uber Labs utilizes insights and methodologies from behavioral science to build programs and products that are intuitive and enjoyable for users on our platform.

Expanding Access: Engineering Uber Lite

Uber Lite pickup screens
Many people around the world use Android phones based on hardware developed in 2015 and earlier. Uber engineers explain how they developed a lightweight rider app to serve this global audience.

Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail

Uber intern Lau Skorstengaard shares his experience working on YQL, the graph query language for our in-house infrastructure state aggregation platform.

Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber

Uber built Manifold, a model-agnostic visualization tool for ML performance diagnosis and model debugging, to facilitate a more informed and actionable model iteration process.

Building a Scalable and Reliable Map Interface for Drivers

Uber driver app screen
In our ongoing series about rewriting the Uber driver app, engineer Chris Haugli explains how we designed the map display to be resilient, and always show the most useful information.

Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning

Uber AI Labs releases Atari Model Zoo, an open source repository of both trained Atari Learning Environment agents and tools to better understand them.

POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer

Uber AI Labs introduces the Paired Open-Ended Trailblazer (POET), an algorithm that leverages open-endedness to push the bounds of machine learning.

From Self-Driving Cars to Optimizing Claims Efficiency: My Unconventional Journey to Insurance Engineering

In this article, engineering manager Lili Kan reflects on her decision to lead Uber's Insurance Engineering team and discusses the challenges—and opportunities—of building insurance products for our platform.

How to Ship an App Rewrite Without Risking Your Entire Business

How to Ship an App Rewrite Without Risking Your Entire Business
Rather than shipping out our new driver app as a simple update to Android phones, Uber engineers delivered a dual binary package, enabling a safe and structured rollout of the new app while maintaining support for the previous version.

Women in Data Science at Uber: Moving the World With Data

During an October 2018 meetup, members of our Women in Statistics, Data, Optimization, and Machine Learning (WiSDOM) group presented on their technical work at Uber.

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