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Engineering, Data / ML, Uber AI

Reinforcement Learning for Modeling Marketplace Balance

Uber uses reinforcement learning to optimize matching and better balance drivers with demand in real time. By considering long-term outcomes, we improve efficiency and increase driver earnings by proactively aligning drivers with demand.

July 2 / Global

Helping you stay informed about risks to your account status

June 30 / US

Introducing Advantage Mode & Standard Mode

June 25 / US

Engineering, Backend, Uber AI

Slashing CI Costs at Uber

June 23 / Global

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Seattle Deactivation Challenge Procedure Policy

June 23 / US

The Evolution of Uber’s Search Platform

June 20 / Global

Engineering, Backend, Security

Automating Kerberos Keytab Rotation at Uber

June 18 / Global

Engineering, Data / ML

How Uber Migrated from Hive to Spark SQL for ETL Workloads

June 12 / Global

Most popular

RideMay 9 / New Jersey

Understanding New Jersey rider prices

EngineeringJune 20 / Global

The Evolution of Uber’s Search Platform

PromotionsMay 12 / US

Uber’s Member Days Have Landed: 100 million miles with Delta Air Lines are up for grabs!

Earn, Deliver, Delivery products, Eat, ProductsJune 23 / US

Seattle Deactivation Challenge Procedure Policy

Teens get 50% off a month of free rides when they fail their driver’s test

June 5 / US

Teens get a month of free rides when they fail their driver’s test

June 5 / US

From Archival to Access: Config-Driven Data Pipelines

June 5 / Global

Engineering, Data / ML, Uber AI

Enhanced Agentic-RAG: What If Chatbots Could Deliver Near-Human Precision?

May 29 / Global

Uber Reveals 2024 “Airport of the Year” Award Winners

May 29 / US

No Tax on Tips is now law

May 22 / US

Engineering, Backend

Robust Database Backup Recovery at Uber

May 22 / Global

How Uber teen accounts help families thrive

May 20 / US

NJ Driver Surcharge

May 19 / New Jersey

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