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Open Sourcing deck.gl 4.0: Uber Engineering’s Framework for Advanced Data...

Data is mission-critical to the advancement of any technology, but it loses value if we are unable to understand and visualize it. In 2016, we acted on this philosophy by open sourcing deck.gl, a...

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Uber’s Ride with the Sun: Tracking the 2017 Solar Eclipse

How did U.S. riders use the Uber platform during the solar eclipse of Monday, August 21, 2017? To find out, we collected trip requests of around 40 major U.S. cities (Figure 1) near the totality path...

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Engineering a Million-Mile Journey with Uber ATG

Poornima Kaniarasu is a data platform engineer with Uber’s Advanced Technologies Group (ATG). In this article, she shares how her background in robotics led her to Uber Engineering, where she works on...

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Scaling Reliable Transportation for India: Meet Uber Bangalore Engineering

The Uber India Engineering team is dedicated to creating more reliable transportation solutions for everyone, everywhere, available at the click of a button. Thanks to our engineering and product...

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Engineering More Reliable Transportation with Machine Learning and AI at Uber

In recent months, Uber Engineering has shared how we use machine learning (ML), artificial intelligence (AI), and advanced technologies to create more seamless and reliable experiences for our users....

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Navigating the Engineering Interview Process at Uber & Beyond

As one of the world’s fastest growing companies, Uber is always looking for new engineers to help us make transportation safer and more reliable. To accomplish this, we are developing technologies—from...

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Celebrating Uber Bangalore’s Women in Tech

In honor of International Women’s Day (March 8), Disha Pancholi, Uber Bangalore Engineering’s Site Program Manager, sat down with members of her office to discuss their experiences as women in...

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Rethinking GPS: Engineering Next-Gen Location at Uber

Location and navigation using global positioning systems (GPS) is deeply embedded in our daily lives, and is particularly crucial to Uber’s services. To orchestrate quick, efficient pickups, our GPS...

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From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s...

Maps are based on our physical world. We create maps using abstract shapes and colors to reveal geographic patterns and tell stories about human existence. At Uber, we leverage data visualization to...

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H3: Uber’s Hexagonal Hierarchical Spatial Index

Grid systems are critical to analyzing large spatial data sets, partitioning areas of the Earth into identifiable grid cells. With this in mind, Uber developed H3, our grid system for efficiently...

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Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps

High quality map data powers many aspects of the Uber trip experience. Services such as Search, Routing, and Estimated Time of Arrival (ETA) prediction rely on accurate map data to provide a safe,...

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Scaling Machine Learning at Uber with Michelangelo

In September 2017, we published an article introducing Michelangelo, Uber’s Machine Learning Platform, to the broader technical community. At that point, we had over a year of production experience...

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Open Source at Uber: Meet Alex Sergeev, Horovod Project Lead

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...

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Improving Uber’s Mapping Accuracy with CatchME

Reliable transportation requires a robust map stack that provides services like routing,  navigation instructions, and ETA calculation. Errors in map data can significantly impact services, leading to...

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Science at Uber: Powering Uber’s Ridesharing Technologies Through Mapping

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,...

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