Member of Technical Staff – Atmospheric Science Research
causal · San Francisco
Job description
About the role
Join causal’s mission to build a Large Physics foundation Model that can predict and influence physical systems, starting with weather. As a Member of Technical Staff you will embed deep atmospheric expertise into every stage of model development, from data selection to validation.
Key responsibilities
- Guide the sourcing and validation of atmospheric data, advising on observation systems, their characteristics, and pathologies.
- Define forecast quality metrics and implement rigorous verification methodologies.
- Run case studies on high‑impact weather events to probe model behavior and uncover failure modes.
- Benchmark model performance against operational numerical weather prediction baselines and the state of the field.
- Partner with model, evaluation, and product teams to translate atmospheric expertise into research direction and credible results.
Required profile
- Relentless problem‑solving attitude with rapid execution and quick learning in unfamiliar domains.
- Deep expertise in atmospheric science, meteorology, or a closely related field (PhD or equivalent research experience).
- Familiarity with operational forecasting, numerical weather prediction, and forecast verification methods.
- Comfort working with large observational and reanalysis datasets.
- Ability to collaborate closely with ML researchers and translate domain knowledge into technical requirements.
- Evidence‑driven approach to evaluating model quality.
Required skills
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Published 1 month ago
Expires 1 week from now
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causal
San Francisco
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