Full Stack Developer
We are looking for a full stack developer to build tools that enable scientific analysis as well as decision makers around the world. You should apply if you are eager to use engineering to reduce the impact of catastrophic flooding and build an innovative and sustainable organization. In this role, you will develop cloud infrastructure to help process satellite data and deploy machine learning algorithms in near real-time. You will also build web and mobile tools for enabling decision makers with up-to-date information during disasters.Learn More
Senior Remote Sensing Scientist - Radar
We are looking for a best-in-class remote sensing scientist with radar expertise to lead algorithm development for flood detection with high-resolution imaging radar and passive microwave sensors. You should apply if you are eager to use science to reduce the impact of catastrophic flooding and build an innovative and sustainable organization.Learn More
Machine Learning and Computer Vision Scientist
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 excited to build an innovative and sustainable organization.Learn More
Research Scientist (Machine Learning / Remote Sensing Data Assimilation)
We are looking for a best-in-class data fusion scientist to lead innovation to downscale passive microwave sensors using radar and optical high resolution flood maps. You should apply if you are eager to use science to reduce the impact of catastrophic flooding and build an innovative and sustainable organization. In this role, you will lead the development of machine learning based algorithms trained on high resolution flood events to downscale passive microwave sensors. Learn More
Cloud to Street is the leading flood mapping and monitoring platform designed to enable emergency preparation and response for the world’s most climate vulnerable communities. We harness global satellites, advanced remote sensing science, human centered design, and community intelligence to detect floods in near real-time around the world and dynamically analyze local flood risk for immediate and long term decision-making. Our mission is to ensure that all vulnerable governments have access to the best information and to the support tools they need to prepare and respond to increasing catastrophes. Cloud to Street is or has been used by governments in 11 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years.
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