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Rainmaker uses drone-based cloud seeding and integrated weather technology to increase rainfall, restore ecosystems, and fight drought. The company builds modern cloud-seeding systems to bring freshwater to farms, ecosystems, and communities by combining atmospheric science, weather-resistant unmanned aircraft systems, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies. Rainmaker serves the public and regions affected by water scarcity by modernizing the proven process of cloud seeding to make freshwater available to all and address severe weather challenges.

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About rainmaker

Rainmaker uses drone-based cloud seeding and integrated weather technology to increase rainfall, restore ecosystems, and fight drought. The company builds modern cloud-seeding systems to bring freshwater to farms, ecosystems, and communities by combining atmospheric science, weather-resistant unmanned aircraft systems, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies. Rainmaker serves the public and regions affected by water scarcity by modernizing the proven process of cloud seeding to make freshwater available to all and address severe weather challenges.

The organization maintains an embedded research organization and R&D team that uses science to validate results, develop responsible operations, and build working models from proprietary in-cloud observations, radar, satellite data, and field measurements. Rainmaker's teams work on tasks such as forecasting supercooled liquid water, assimilating multimodal observations into estimates of atmospheric state, predicting hail, and learning from intervention outcomes.

The open roles indicate that Rainmaker is building its technical and research teams by hiring for machine learning positions, including a Machine Learning Researcher and a Rainmaker Fellow in Machine Learning. These roles are structured for early-career researchers, students, postdoctoral researchers, and experienced professionals to work on scoped machine-learning projects and operational systems. All listed open roles are based in El Segundo, California.

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