AI Safety Researcher

Role overview Research security risks affecting large language models and AI agents, then turn findings into practical safeguards for production systems. The work spans investigating attack techniques, building detection methods, and helping shape policies that govern model and tool use.

Responsibilities - Investigate emerging attacks against language models and agent-based systems. - Develop production-ready detectors and policy controls from research findings. - Explore risks involving prompt injection, jailbreaks, and agent tool use. - Contribute to red-team evaluations and analysis of AI system behavior.

Requirements - Be based in Kuala Lumpur or the Klang Valley and already authorized to work in Malaysia. - Be available for full-time work, with remote work within the area and office visits when needed.

Nice to have - Publications or public writing on AI security, adversarial machine learning, or red teaming. - Experience with capture-the-flag events, bug bounties, or formal security research. - Familiarity with agent development frameworks or tooling.