Tag: Driver Engineering
To celebrate International Women's Day, we spoke with women from across the company whose work helps deliver impactful experiences for Uber users worldwide.
The Uber Seattle Tech team is responsible for building a diverse range of technologies, from developer tools to our data platform architecture.
During our 2019 Uber European Technology Showcase, technical teams across the company discussed how we build products that drive safe and reliable transportation.
What began as a means of showing Uber's driver-partners their real-time earnings quickly became an extensible means of communicating not just earnings, but also incentives and other useful information within our new driver app.
Our driver app's new server-driven preferences section enables driver-partners to customize their experiences to make the app better fit into their lives.
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.
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.
One-click chat, the Uber driver app's smart reply system, leverages machine learning to make in-app messaging between driver-partners and riders more seamless.
In this interview, Uber Vice President of Engineering for Ridesharing and Eats Jörg Heilig talks about taking a leadership role in a large engineering organization with a broad portfolio and the priorities being set for 2018.
Uber Labs leverages mediation modeling to better understand the relationship between product updates and their outcomes, leading to improved customer experiences on our platform.
The Uber Insurance Engineering team extended Kafka’s role in our existing event-driven architecture by using non-blocking request reprocessing and dead letter queues (DLQ) to achieve decoupled, observable error-handling without disrupting real-time traffic.