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Member of Technical Staff – Atmospheric Science Research

causal · San Francisco

Senior 🇬🇧 English

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

    35 views · 0 interested

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    causal

    San Francisco