Collaborate to deliver high-quality results in the emerging area of AI security, focusing on vulnerability discovery, assessments, and mitigation effectiveness
Job Summary
Collaborate to deliver high-quality results in the emerging area of AI security, focusing on vulnerability discovery, assessments, and mitigation effectiveness.
Develop state-of-the-art approaches for analyzing AI system robustness, reverse engineering malicious code, and identifying emerging threats.
Carnegie Mellon University offers a world-class organization with cutting-edge technologies, comprehensive benefits including retirement contributions and tuition, and a healthy work/life balance.
Matching Summary
Collaborate to deliver high-quality results in the emerging area of AI security, focusing on vulnerability discovery, assessments, and mitigation effectiveness.
Skills & Requirements
Must-have
AI security research
vulnerability discovery and assessment
reverse engineering AI systems
Python, C/C++ programming
developing analysis methods and tools
Nice-to-have
intellectual curiosity
desire to make an impact
cross-training willingness
broader security community participation
Key Requirements
BS in machine learning, cybersecurity, statistics, or related discipline
Practical experience with cybersecurity knowledge
Familiarity with AI/ML software packages and tools
Familiarity with reverse engineering tools
Experience developing frameworks, methodologies, or assessments