Brad Neuberg

About

I am a Staff Machine Learning Engineer with Planet, applying deep learning to geospatial AI problems. Planet has a fleet of Low Earth Orbit cubesats that image the land mass of the Earth daily to monitor changes and pinpoint trends. At Planet I've done everything from detecting new roads and buildings appearing in protected areas of the Brazilian Amazon to helping figure out how to put machine learning GPUs into space to applying cutting edge advancements in AI to Earth Observation problems. I have a decade and a half experience as a software engineer across such companies as Google & Dropbox, startups, and the open source world. I am a Machine Learning Advisor to the Frontier Development Lab, helping research teams apply deep learning to Earth and space science and space exploration. I was a Machine Learning Engineer at Dropbox, doing industrial R&D to ship deep learning-powered products to millions of users and across billions of files. I've worn many hats in my career, whether as a tech lead, a product engineer, a startup founder, or a full stack software engineer. I have a long tradition of untraditional, cross-disciplinary innovation across fields. Earlier work includes having

Experience

Education