AI Adversarial Robustness Testing Engineer

About the role

Responsibilities

• Implement automated attack suites for jailbreaking, prompt injection, and adversarial robustness
• Research and adapt published adversarial attack techniques into test cases
• Discover novel attack vectors through manual red teaming and systematic exploration
• Build exploitability scoring and risk classification for attack findings
• Create detailed remediation guidance for common vulnerability patterns
• Publish findings on novel attack techniques to the security research community

Requirements

• 5+ years in ML engineering or security research with LLM adversarial testing experience
• Deep familiarity with published jailbreak and prompt injection techniques
• Strong Python and PyTorch skills
• Experience with red teaming, penetration testing, or security research methodology
• Publications or public contributions in AI safety, security, or adversarial ML

Benefits

• Fully remote
• Top-of-market compensation
• Security research conference budget
• Health, dental, and vision
• Equity with 4-year vesting

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.