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About the Role

We are building a Large Physics foundation Model (LPM) to achieve general causal intelligence, capable of predicting the future and identifying actions to alter it. This role focuses on applying atmospheric science expertise to guide the development and evaluation of this model, starting with weather prediction.

Responsibilities

• Guide the sourcing and validation of atmospheric data, advising on observation systems, their characteristics, and their pathologies.
• Define forecast quality and apply rigorous verification methodology to model evaluation.
• Run case studies on high-impact events to probe model behavior and identify failure modes.
• Benchmark against operational numerical weather prediction baselines and state-of-the-field methods.
• Partner with model, evaluation, and product teams to translate atmospheric expertise into research direction and credible results.

Requirements

• 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.

Experience Level

• PhD or equivalent research experience

Education Level

• PhD

About the Company

• Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
• We are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect.
• We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
• Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
• We look for domain experts who are excited to tackle unsolved problems.
• Weather is our first proving ground — the most well-observed physical system on Earth — and getting it right demands deep atmospheric expertise embedded directly in the research.