ML Researcher – Weather Modeling

Roles & Responsibilities Develop and train ML models for cloud microphysics, storm evolution, and seeding impact. Build pipelines for ingesting balloon, radar, satellite, and model data. Own experiments: preprocessing, training, evaluation, uncertainty. Convert research into production-ready forecasting tools. Work closely with atmospheric + hardware teams on data and field integration.

What We’re Looking For Strong ML research background (spatiotemporal, physics-informed, or time-series). Experience training large models or working with distributed compute. Comfortable reasoning from first principles and designing experiments. Fast, independent, and thrives in a small, high-velocity team. Passion for climate/weather.

Bonus: WRF, LES, data assimilation, microphysics knowledge.