The posting
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.



