Member of Technical Staff — Research, Atmospheric Science

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. Your mission is to bring that expertise to bear on every part of the model: what data we learn from, how we know the model is correct, and where it still falls short.

Responsibilities

- Guide the sourcing and validation of atmospheric data, advising on observation systems, their characteristics, and their pathologies

- Define what forecast quality means, bringing rigorous verification methodology to how we evaluate the model

- Run case studies on high-impact events to probe model behavior and surface failure modes

- Benchmark 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

What we're looking for

We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.

- 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