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Home Authors Posts by Molly Vorwerck

Molly Vorwerck

Molly Vorwerck
28 BLOG ARTICLES 0 RESEARCH PAPERS
Molly Vorwerck is the Eng Blog Lead and a senior program manager on Uber's Tech Brand Team, responsible for overseeing the company's technical narratives and content production. In a previous life, Molly worked in journalism and public relations. In her spare time, she enjoys scouring record stores for Elvis Presley records, reading and writing fiction, and watching The Great British Baking Show.

Engineering Blog Articles

Fostering a Culture of Sponsorship: Introducing Uber’s Engineering and Sponsorship Development Program

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

Celebrating International Women’s Day: Meet the Women Building Uber’s Global Platform

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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

Year in Review: 2019 Highlights from the Uber Engineering Blog

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

Uber Joins LF Presto Foundation to Advance Open Source Analytics

From determining the most efficient routes to predicting rider demand, aggregated data-driven analytics are foundational to Uber’s ability to deliver seamless mobility experiences on our platform. 

Powering many of our analytics services, Presto, an open source, distributed SQL query

Science at Uber: Innovating Across Digital and Physical Worlds

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

Advancing AI: A Conversation with Jeff Clune, Senior Research Manager at Uber

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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

Science at Uber: Making a Real-world Impact with Data Science

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

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, machine learning, and other innovative technologies in

Science at Uber: Bringing Research to the Roads

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

Showcasing the Technologies and Teams from Uber’s European Engineering Sites

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 reliablea daunting ask for any engineering organization. Uber has more

Visualizing City Cores with H3, Uber’s Open Source Geospatial Indexing System

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

No Coding Required: Training Models with Ludwig, Uber’s Open Source Deep Learning Toolbox

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

Uber Joins Urban Computing Foundation, Contributes Kepler.gl as Organization’s First Hosted Project

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

Uber Open Source: Catching Up with Celina Ward, M3 Observability Engineer

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

Data Science at Scale: A Conversation with Uber’s Fran Bell

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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

Mitigating Risk in a Three-Sided Marketplace: A Conversation with Trupti Natu and Neel Mouleeswaran on the Uber Eats Risk Team

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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.

Uber Open Source: Catching Up with Fritz Obermeyer and Noah Goodman from the Pyro Team

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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

Year in Review: 2018 Highlights from the Uber Engineering Blog

With new content every week, our blog showcases the technologiesand the people behind themthat power the Uber platform.

In 2018, we published articles on topics spanning the breadth and depth of our technical stack, from a

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 perception systems used by our Advanced

NVIDIA: Accelerating Deep Learning with Uber’s Horovod

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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

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