AI Jailbreak Detection Researcher

About the role

Responsibilities

• Design and train jailbreak detection classifiers generalizing beyond known attack signatures
• Build adversarial robustness evaluation frameworks for client AI deployments
• Analyze novel attack patterns from production dataset and distill into model improvements
• Develop transfer attack simulations for stress-testing deployed detection systems
• Publish research findings on adversarial robustness and jailbreak detection
• Collaborate with client security teams on deployment and threshold calibration

Requirements

• 6+ years in ML research with adversarial ML, AI safety, or NLP security focus
• Deep understanding of LLM attack taxonomy: prompt injection, jailbreaking, extraction
• Strong Python and PyTorch skills with adversarial training experience
• Publication record in adversarial ML, AI safety, or related security venues
• Ability to work under responsible disclosure protocols

Benefits

• Fully remote with flexible schedule
• Comprehensive health benefits
• Research conference budget
• Access to proprietary adversarial attack dataset
• Equity participation

Keep exploring related roles

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