Assistant AI Security Researcher

Responsibilities

• Develop state-of-the-art approaches for analyzing the robustness of AI systems
• Apply research to understand vulnerabilities and how attackers exploit AI systems
• Reverse engineer malicious code and design new analysis methods and tools
• Evaluate the effectiveness of tools, techniques, and processes developed by the AI security community
• Develop thought models, tools, and datasets to characterize threats to AI systems
• Co-author technical proposals and present findings to DoD sponsors and academic conferences

Requirements

• BS in machine learning, cybersecurity, statistics, or a related discipline
• Experience with Python, C/C++, or low-level programming
• Familiarity with AI/ML software packages such as Numpy, Pytorch, or Tensorflow
• Knowledge of reverse engineering tools like Ghidra or IDA Pro
• Ability to obtain and maintain a Department of Defense (DoD) security clearance

Preferred Qualifications

• Practical experience in vulnerability research, analysis, disclosure, or mitigation
• Experience developing frameworks or methodologies to evaluate technology robustness
• Strong technical communication skills for explaining complex concepts to non-experts

Benefits

• 8% monthly retirement contribution without required employee contribution
• Tuition benefits for employees and dependent children at CMU and other institutions
• Comprehensive medical, prescription, dental, and vision insurance
• Flexible work arrangements and paid parental and military leave
• Professional development opportunities including conference and certification reimbursement
• Relocation assistance available

About the Company

Carnegie Mellon University's CERT Division of the Software Engineering Institute (SEI) is a leader in cybersecurity research. As a non-profit, federally funded research and development center (FFRDC), we focus on improving the robustness of software systems and responding to sophisticated cybersecurity threats on a national and global scale.