Being a strong engineer requires more than just top-notch coding. The ability to navigate interpersonal relationships with colleagues and leverage leadership skills is fundamental to your success, regardless of whether you’re an individual contributor or a manager.
Mentorship and sponsorship …
Around the world, Uber’s technical teams build the platforms that power our dynamic suite of mobility services, from food delivery and freight to ridesharing and scooter rentals. These engineers, data scientists, product managers, program managers, and many other technologists both …
With tech offices around the world, Uber engineers are responsible for building new features and systems that improve rideshare, new mobility, food delivery, and other services enabled by our platform. Our Uber Engineering Blog highlights some of these efforts, giving …
At Uber, we take advanced research work and use it to solve real world problems. In our Science at Uber video series, Uber employees talk about how we apply data science, artificial intelligence, machine learning, and other innovative technologies …
The past few months have been a whirlwind for Jeff Clune, Senior Research Manager at Uber and a founding member of Uber AI Labs. In June 2019, research by him and his collaborators on POET, an algorithm …
At Uber, we take advanced research work and use it to solve real world problems. In our Science at Uber video series, Uber employees talk about how we apply data science, artificial intelligence, machine learning, and other innovative technologies …
At Uber, we take advanced research work and use it to solve real world problems. In our Science at Uber video series, Uber employees talk about how we apply data science, artificial intelligence, machine learning, and other innovative technologies in …
At Uber, we take advanced research work and use it to solve real world problems. In our Science at Uber video series, Uber employees talk about how we apply data science, artificial intelligence, machine learning, and other innovative technologies in …
With more than 15 million Uber trips happening daily across 700 cities and six continents worldwide, the core systems powering the Uber platform must be both scalable and reliable—a daunting ask for any engineering organization. Uber has more …
At Uber, we leverage large geospatial datasets to power our marketplace algorithms, leading to more accurate ETAs, dynamic pricing, and better routes for users on our platform.
Deriving information and insights from data in the Uber marketplace requires analyzing …
Machine learning models perform a diversity of tasks at Uber, from improving our maps to streamlining chat communications and even preventing fraud.
In addition to serving a variety of use cases, it is important that we make machine learning …
Urban computing, a discipline that connects engineering, analysis, and visualization of data to improve safety, road infrastructure, equitable access to transportation, energy consumption, and traffic congestion in cities, is integral to Uber’s vision for safer, smarter cities. From developing open …
When Celina Ward joined Uber in March 2018 to work on M3, an open source metrics platform created by Uber’s Observability team, she had no idea that she’d be co-headlining KubeCon just eight months later to talk about her …
Fran Bell has always been a scientist; theorizing, modeling and testing how the world works. An ever-curious child, she was fascinated by the natural world, poring over biology and chemistry books, but was never satisfied with just knowing; she …
Under the hood of the core Uber Eats experience—tap a button, place an order—is a three-sided marketplace of eaters, delivery-partners, and restaurant-partners connected by a complex network of features and services that facilitate the seamless delivery of your favorite meals.…
Over the past several years, artificial intelligence (AI) has become an integral component of many enterprise tech stacks, facilitating faster, more efficient solutions for everything from self-driving vehicles to automated messaging platforms. On the AI spectrum, deep probabilistic programming, a …
With new content every week, our blog showcases the technologies—and the people behind them—that power the Uber platform.
In 2018, we published articles on topics spanning the breadth and depth of our technical stack, from a …
For Alex Sergeev, the decision to open source his team’s new distributed deep learning framework, Horovod, was an easy one.
Tasked with training the machine learning models that power the sensing and perception systems used by our Advanced …
NVIDIA, inventor of the GPU, creates solutions for building and training AI-enabled systems. In addition to providing hardware and software for much of the industry’s AI research, NVIDIA is building an AI computing platform for developers of self-driving vehicles. With …
