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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. In this role, you will take ownership of large projects in Cloud to Street’s machine learning and data science efforts. You will be building the full pipeline from data collection and creation to model testing and benchmarking. You will work with a team of scientists and engineers with expertise in remote sensing (optical and radar), hydrology, climate, social vulnerability, UX, and machine learning to turn petabytes of satellite data into meaningful information to empower the world’s most vulnerable communities.
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- MSc or PhD in computer science, a related field, or equivalent experience (BSc with industry experience also considered)
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