GenAI Security Researcher
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Summary
As a GenAI Security Researcher, you will attack the most capable generative AI models in the world before anyone else does.
Requirements
- 5+ years of hands-on cybersecurity research experience in one or more of: offensive security, red teaming, vulnerability research, reverse engineering, detection research or exploit development.
- 1+ years of hands-on work (formal or a-formal) attacking or evaluating GenAI systems: jailbreaks, prompt injection / indirect prompt injection, guardrail bypass, or LLM red teaming.
- Solid understanding of how modern LLMs work and are deployed: training and alignment basics (RLHF, safety tuning), system prompts, context windows, tool calling, RAG and agent architectures.
- Strong attacker mindset: the ability to look at an unfamiliar system, model its trust boundaries and find creative ways to break them.
- Strong coding skills and comfort building your own tooling and automation.
- Ability to work independently on open-ended research problems, from hypothesis to proof of concept to clear write-up.
- Excellent written and verbal communication in English.
- Published AI security research, CVEs, conference talks (e.g., DEF CON AI Village, Black Hat, BSides) or public jailbreak / prompt-injection write-ups. (advantage)
- Experience red teaming production AI agents or AI-powered applications, or participation in AI bug bounty programs. (advantage)
- Background in threat intelligence, incident response or detection engineering. (advantage)
- Familiarity with AI security frameworks such as OWASP Top 10 for LLMs, MITRE ATLAS and NIST AI RMF. (advantage)
- Experience building adversarial benchmarks or evaluation harnesses for LLMs. (advantage)