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June 14, 2022
I spent the last 6 years of my career at Uber across both Finance and Business leadership roles. In this time, I witnessed first hand how AI and ML drove improved customer experiences, more efficient operations, and will be instrumental in unlocking a future with self-driving cars and trucks.
June 6, 2022
At Scale, we have a handful of internal Employee Resource Groups (ERGs) that connect Scaliens around shared identities. That means we spend a lot of time thinking about lowering barriers, leveling the playing field, and fostering communities of belonging and shared interests. For members of the LGBTQ+ community, having space at work to be authentic and open is so important. And, it’s part of why we built Scale Out, where Scaliens rely on each other to create a community of inclusion.
May 27, 2022
This Memorial Day, join us on Jacob's journey as he shares his experiences with the costs of war.
May 19, 2022
Q: Tell us a little bit about yourself and your role at Scale.
May 9, 2022
Document AI is powered by machine learning (ML) models that process documents at high accuracy and speed. When these models are fine-tuned for a customer, they become even more accurate and regularly achieve near-perfect accuracy levels and do not require any human intervention. Scale engineers continuously work to improve these models by creating new tools to make sure Document AI is highly reliable for the most critical industries we serve. This blog will highlight one of those tools, a technique called “linting”, and how it helps make Document AI’s models more accurate.
March 31, 2022
Willow leads the Customer Operations team at Scale. She is a former director of logistics at Amazon.com, a graduate of MIT’s Leaders for Global Operations program, and a former captain in the U.S. Army’s Military Police Corps.
March 30, 2022
March 28, 2022
March 22, 2022
It’s a story that you’ve heard before: the biggest and best machine learning models need enormous datasets to get good performance on complicated tasks. When you are just getting started with deep learning, the sheer volume of data that you hear the state-of-the-art models need can be pretty discouraging. However, today I’m going to show you how to stand on the shoulders of giants to supercharge your next ML project on a tough task like object detection. Do you want quality results without having to train on the same mass of data? Enter: transfer learning.
March 14, 2022
As a member of the U.S. Air Force Rescue and #AFWERX, I have been working to modernize the tools used by Search and Rescue to increase the odds of survival of those lost at sea. Every year, hundreds of individuals find themselves isolated and at the mercy of the ocean, creating a dangerous scenario which is impossible to navigate without the best technological tools and deep expertise.