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

We share technical challenges and lessons learned while productionizing and scaling XGBoost to train distributed gradient boosted algorithms at Uber.

Controlling Text Generation with Plug and Play Language Models

Plug and Play Language Model, introduced by Uber AI Labs, gives NLP practitioners the flexibility to plug in one or more simple attribute models into a large, unconditional language model.

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

By integrating graph learning techniques with our Uber Eats recommendation system, we created a more seamless and individualized user experience for eaters on our platform.

Uber Goes to NeurIPS 2019

Uber is presenting 11 papers at the NeurIPS 2019 conference in Vancouver, Canada, as well as sponsoring workshops including Women in Machine Learning (WiML) and Black in AI.

RxCentral: Uber’s Open Source Library for Seamless Bluetooth Integrations

Rendering of Uber Beacon with 'Ready to Go' message
Uber introduces RxCentral, an open source library to reliably and repeatedly connect Bluetooth devices using a platform-agnostic, reactive design.

Announcing the 2020 Uber AI Residency

Uber's 2020 AI Residency will focus on initiatives related to our self-driving car project through Uber Advanced Technology Group (ATG).

Optimizing Observability with Jaeger, M3, and XYS at Uber

Uber’s observability engineers present their work on distributed tracing (Jaeger), sampling (XYS), and metrics processing (M3).

Global Tech in the Great Outdoors: Meet Uber’s Boulder Tech Office

Ski lift on snowy mountain
Meet a few of the engineers from Uber's Boulder, Colorado office, working on everything from maps to new mobility to large-scale distributed systems.

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

As part of Uber Visualization's all-team hackathon, we built Urban Symphony, an Uber Movement visualization that adds an audio component to traffic speed patterns.

Introducing Menu Maker: Uber Eats’ New Menu Management Tool

To simplify the Uber Eats experience for our restaurant-partners, we built Menu Maker, a web-based tool for seamlessly managing menus on the Uber Eats app.

Conducting Better Business with Uber’s Open Source Orchestration Tool, Cadence

Conducting Better Business with Uber's Open Source Orchestration Tool, Cadence
Uber engineers describe Cadence, Uber’s open source workflow orchestration tool, its architecture, and its use in a series of informative presentations.

Improving Pickups with Better Location Accuracy

Uber built beacon to improve vehicle location accuracy on our platform, leading to more seamless rider pickup and dropoff experiences.

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

With the release of deck.gl version 7.3, Uber’s open source visualization tool now supports rendering massive geospatial data sets formatted according to the OGC 3D Tiles community standard.

Get to Know Uber ATG at ICCV, CoRL, and IROS 2019

Attending ICCV, CoRL, or IROS 2019? Learn about Uber ATG's recent research in artificial intelligence by checking out our workshops, posters, and keynotes.

IT Engineering: Meet the Team that Keeps Uber Moving

Uber IT Engineering team
Uber's IT Engineering team builds the tools and systems that help other Uber employees do their jobs. Meet a few of these remarkable behind-the-scenes engineers.

Evolving Michelangelo Model Representation for Flexibility at Scale

To accommodate additional ML use cases, Uber evolved Michelangelo's application of the Apache Spark MLlib library for greater flexibility and extensibility.

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

Presto logo
Uber has embraced Presto, a high performance, distributed SQL query engine, and joined the Presto Foundation. Meet the Uber engineers who contribute to and use Presto on a daily basis.

Searchable Ground Truth: Querying Uncommon Scenarios in Self-Driving Car Development

Pedestrian density map
When developing Uber's self driving car systems, engineers found a way to identify edge case scenarios amongst terabytes of sensor data representing real-world situations.

On Internships, Career Advice, and Reaching 15B Rides: A Conversation with Uber CTO Thuan Pham

Thuan Pham and Sudhanshu Mishra
CTO Thuan Pham sat down with former intern, now employee, Sudhanshu Mishra to talk about his early experiences in the technology industry and growing Uber.

Uber Joins LF Presto Foundation to Advance Open Source Analytics

Uber is honored to join the Presto Foundation, a new initiative hosted by the Linux Foundation, to advance the open source data processing community.

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