Rainmaker Fellow, Machine Learning

What this role involves

Rainmaker is offering a paid, full-time Machine Learning Fellowship for early-career researchers to work on applied ML projects in atmospheric science and cloud seeding. Fellows will collaborate with the R&D team on scoped projects involving real sensor data, model development, and evaluation. The role requires strong Python and ML skills, with an interest in noisy, spatial, or temporal data.

Skills this posting asks for

• python
• machine learning
• deep learning
• pytorch
• tensorflow
• numpy
• scikit-learn
• data analysis
• statistical modeling
• time series analysis
• spatial data
• remote sensing
• radar
• satellite data
• numerical weather prediction
• atmospheric science

Requirements

• Level: intern

From the employer’s posting

About Rainmaker Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing sy…