Member of Technical Staff — Research, Atmospheric Science
On-siteSan Francisco, California, United States
Job Summary
Guide the sourcing and validation of atmospheric data, advising on observation systems, their characteristics, and their pathologies. Define forecast quality metrics by bringing rigorous verification methodology to model evaluation. Run case studies on high-impact events to probe model behavior and surface failure modes. Benchmark results 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. This role supports the development of a Large Physics foundation Model to predict and control physical systems, starting with weather. The team leverages expertise from robotics, drug discovery, and particle physics to tackle unsolved problems in causal intelligence.
Required Qualifications
- Deep expertise in atmospheric science, meteorology, or a closely related field (typically a 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
- A rigorous, evidence-driven approach to evaluating model quality
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