Cloud to Street

Developer of a remote sensing platform created to map floods in real time. The company's remote sensing platform delivers dynamic risk information in a Web dashboard at a fraction of the cost of traditional flood modeling by predicting the size and damage of flood as the storm approaches, enabling catastrophe insurers, communities and watershed managers to understand their risk and prepare and respond to the next flood.
Cloud to Street Brooklyn, NY, USA
Aug 08, 2020
Full time role
Cloud to Street is the leading flood mapping platform designed to protect the world’s most climate-vulnerable communities. By harnessing global satellites, advanced science, and community intelligence, we monitor worldwide floods in near real-time and remotely analyze local flood exposure at a click of a button. Our mission is to ensure that all vulnerable governments finally access the high quality information they need to prepare for and respond to increasing catastrophes. Founded by two women at Yale and seeded by Google, Cloud to Street is or has been used by governments across 15 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years. We are looking for a best-in-class Machine Learning and Computer Vision Scientist to build tools for turning satellite data into actionable insights. You should apply if you are eager to develop scalable approaches to reducing the impact of catastrophic flooding and if you are...