Members of Technical Staff build the systems behind Earthian's inference-native risk models—from data pipelines and evaluation harnesses to production APIs on Earthian Hub. This role spans data engineering, model work, and platform delivery for climate, NatCat, geopolitical, technology, and cyber risk domains.

What you'll do

Design and ship data pipelines for geospatial, financial, and regulatory datasets
Train, evaluate, and deploy small risk language models with rigorous benchmarking
Build reliable APIs and workflows used by institutional customers
Partner with research and GTM on product requirements and customer deployments
Improve observability, testing, and model governance across the stack

What we're looking for

Strong software engineering fundamentals and experience shipping production systems
Hands-on experience with ML, data engineering, or applied research
Comfort working across Python, cloud infrastructure, and modern ML tooling
Interest in financial risk, insurance, or capital markets (prior domain experience is a plus)
Clear written communication and ownership mindset

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Earthian AI