ML Researcher – Weather Modeling

Recast Systems • San Francisco, CA

1d

About The Position

This role focuses on developing and training Machine Learning (ML) models for weather phenomena such as cloud microphysics, storm evolution, and seeding impact. The researcher will be responsible for building data ingestion pipelines, owning the end-to-end experiment process (preprocessing, training, evaluation, uncertainty quantification), and converting research findings into production-ready forecasting tools. Collaboration with atmospheric and hardware teams for data and field integration is also a key aspect of the position.

Requirements

• 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.

Nice To Haves

• WRF
• LES
• data assimilation
• microphysics knowledge

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 This Job Offers

• Job Type: Full-time
• Career Level: Senior