Cloud to Street is the recognized authority on using satellites and AI to track floods anywhere on earth. Founded by two climate experts with initial funding from Google, the team comes from NASA, Facebook, Google, Willis Towers Watson, and Oscar Insurance. Our platform has been used by 17 countries to fill critical information gaps for disaster planning and response, and is the official emergency flood mapping provider to the United Nations. The technology is now enabling insurers to expand protection to billions of uninsured assets and people through partnerships with Munich RE and Willis Towers Watson. We recently raised a large seed from top investors that will be announced soon.
We are looking for a hydrologist to integrate model insights with Earth observations to build the best near real-time flood map, anywhere in the world. You will lead integration of data from models, satellites, and other sources to map and predict floods, ensure uncertainty is communicated effectively to our users, and that satellites get tasked at the right time to the right location. You will work with a team of scientists and engineers with expertise in software engineering, remote sensing, machine learning and hydrology to turn petabytes of satellite data into meaningful information to empower the world’s most vulnerable communities.
Send resume firstname.lastname@example.org with "Hydrologist" in the subject line. Submissions should include an attached CV/resume and a paragraph of interest. Relevant past projects and/or publications are optional for submission.
Cloud to Street is devoted to building an inclusive and diverse company. Black, Indigenous, and people of color; women, queer people, and all gender identities, and individuals with disabilities are especially encouraged to apply.