AI Research Scientist

Role overview Research and prototype AI models and inference systems that help institutions reason about financial and physical risks. The work focuses on small language models grounded in domain knowledge graphs, spanning areas such as climate, geopolitics, technology, cyber, and policy. The role is listed in Amsterdam, Paris, Munich, or remote within the EU.

Responsibilities - Develop and test inference-focused models for financial and physical risk use cases. - Create evaluations that reflect real underwriting, investment, and risk workflows. - Work with engineering to bring research into production systems. - Investigate scenarios where multiple hazards and policy factors interact. - Share findings through internal or external publications where appropriate and contribute to relevant benchmarks.

Requirements - A PhD or MSc in machine learning, NLP, or a related area, or equivalent research experience with a strong industry record. - Evidence of depth in AI systems through publications, open-source contributions, or deployed models. - Experience with large or small language models, retrieval, knowledge graphs, or structured reasoning. - Rigorous experimental practice and clear communication with engineering and product teams.

Nice to have - Interest or experience in financial risk, climate science, geopolitics, or cyber risk.

Benefits and work setup - Locations include Amsterdam, Paris, and Munich, with remote work available within the EU.