Artificial Intelligence/Machine Learning Research Scientist
We are looking for a best-in-class Artificial Intelligence/Machine Learning Research 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
Impacts, Monitoring & Evaluation Internship: Bridging the Gap in Flood Data and Response
We are looking for a creative and agile master’s student this summer to help us build a strong assessment framework for measuring the humanitarian impact for our users on the ground, which consist of development organizations, governments, and flood managers in middle to low income countries around the world.Learn More
We are looking for a best-in-class engineer to lead infrastructure and data engineering. 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 lead the development of data infrastructure to help process remote sensing imagery and develop algorithms.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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