AI Research Scientist

Earthian AI; United States; Remote; USD 99,000 - 166,000; Full time

Job summary

Earthian AI seeks a research-focused AI scientist to prototype risk-aware models, grounded in domain knowledge graphs across climate, geopolitics, tech, cyber, and policy. The role emphasizes inference-focused approaches and production-ready research.

You will publish findings, contribute to benchmarks, and collaborate with engineering to move research into production while aligning with real underwriting and risk workflows. Strong publication or OSS credentials are expected.

Qualifications

• PhD or MSc in ML/NLP or equivalent research experience.
• Publications, open-source work, or deployed AI systems demonstrating depth.
• Experience with LLMs, retrieval, knowledge graphs, or structured reasoning.
• Rigorous experimental practice and clear communication with engineering and product teams.

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 and contribute to benchmarks.

Skills

Language models

Knowledge graphs

Structured reasoning

Experimentation

Communication with engineers

Education

PhD or MSc in ML/NLP

Job description

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.