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.