AI Research Scientists advance Earthian's categorized risk foundation models—small risk language models and inference systems grounded in domain knowledge graphs. You will push the frontier on climate, geopolitical, technology, cyber, and policy risk reasoning for institutional use.
What you'll do
Research and prototype inference-native models for financial and physical risk domains
Design evaluations that reflect real underwriting, investing, and risk workflows
Collaborate with engineering to move research into production on Earthian Hub
Publish internally and externally where appropriate; contribute to benchmarks such as FinR Bench
Explore compound risk scenarios where multiple peril and policy channels interact
What we're looking for
PhD or MSc in ML, NLP, or a related field—or equivalent research experience with an exceptional industry track record
Publications, open-source work, or deployed models demonstrating depth in AI systems
Experience with LLMs/SLMs, retrieval, knowledge graphs, or structured reasoning
Interest in financial risk, climate science, geopolitics, or cyber is strongly valued
Rigorous experimentation habits and clear communication with engineering and product teams
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AI Research Scientist in Amsterdam werkgever: Earthian AI
Bij Earthian bieden we een stimulerende werkomgeving waar innovatie en samenwerking centraal staan. Als lid van ons Technical Staff krijg je de kans om impactvolle systemen te bouwen die bijdragen aan het begrijpen van risico's in verschillende domeinen, waaronder klimaat en technologie. We investeren in de groei van onze medewerkers door middel van voortdurende training en ontwikkeling, en onze cultuur bevordert open communicatie en teamwork, waardoor je je vaardigheden kunt aanscherpen en je carrière kunt versnellen.
