AI Security Researcher
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Industry Experience
Ricki from CyberSec People will make the introduction
Skills Assessment
Breaks down complex problems into fundamental truths and builds solutions from the ground up
Prefers building and shipping code over meetings and documentation
Deep technical expertise across security domains, tools, and architectures
Constantly learning, experimenting, and staying ahead of emerging threats
Battle-tested experience solving real-world security incidents and challenges
Profile Summary
Mid-level AI Security Researcher specializing in adversarial ML, model security, and AI system hardening. Previously at seed-funded AI startup, built security for generative AI platform. Published research on prompt injection attacks and model security.
Problems Solved
- Discovered and responsibly disclosed critical prompt injection vulnerability in major LLM product
- Built adversarial training pipeline improving model robustness by 40%
- Implemented model security scanning detecting backdoors in 3rd-party models
What They Build
AI security tools, adversarial training systems, model security scanners
What Would Make Them Move
Seeking a role focused on securing AI/ML systems, adversarial ML research, and building secure AI infrastructure at Australian AI startups. Passionate about the intersection of security and machine learning.