Research Engineer

Neo Research is an independent frontier safety research and evaluations organisation, based in Singapore. We focus on loss-of-control and harmful manipulation risks in frontier AI models.

What you'll do

• Implement and run safety evaluations on frontier models, with a focus on loss-of-control and harmful manipulation.
• Build and maintain agent scaffolds, tool integrations, and evaluation infrastructure.
• Own reproducibility: sampling, logging, environment management, result analysis.
• Translate research questions from scientists into runnable, rigorous evaluations.
• Contribute methodology and infrastructure sections to published safety reports.
  
  

What we are looking for

• Strong Python.
• Hands-on experience running or building LLM safety evaluations.
• Fluency with agentic evaluation frameworks (Inspect or similar).
• Solid engineering practice: testing, version control, containerised environments.
• Rigorous about elicitation methodology: scaffolding, tool access, sampling, and knowing where evals fail.
• Clear technical writing.
  
  

Good to have

• Dangerous capability evaluations experience.
• Experience with agent sandboxing infrastructure (Docker, Kubernetes).
• Familiarity with frontier lab safety reports.
• Reading and writing in Mandarin.
  
  

Concrete details

• Full-time. Singapore or remote.