Causal Labs
Member of Technical Staff — Research, Atmospheric Science
San Francisco +1 · On-site · Staff · Full-time · Posted Jul 20, 2026
- Location
- San Francisco
Singapore - Experience
- Typically a PhD or equivalent research experience; no specific number of years stated.
- Education
- PhD or equivalent research experience.
About the job
Apply atmospheric science expertise to guide weather-model data, evaluation, case studies, benchmarking, and research direction.
What you'll do
- Guide the sourcing and validation of atmospheric data, including observation systems and their limitations.
- Define forecast-quality measures, run high-impact-event case studies, and benchmark against operational numerical weather prediction.
- Collaborate with model, evaluation, and product teams to turn atmospheric expertise into research direction and credible results.
What they ask for
- Deep expertise in atmospheric science, meteorology, or a closely related field.
- Familiarity with operational forecasting, numerical weather prediction, and forecast verification methods.
- Comfort working with large observational and reanalysis datasets.
- Ability to collaborate with ML researchers and translate domain knowledge into technical requirements; rigorous, evidence-driven evaluation.
AI focus
Contribute atmospheric expertise to a Large Physics foundation Model for weather, including data selection, forecast verification, model evaluation, and identifying failure modes.
Model-written summary · the original posting is authoritative