Carnegie Mellon University · 1 day ago
Associate AI Security Researcher
Pittsburgh, PA
Full-time
Onsite
Mid Level
3+ years expCarnegie Mellon University is a leader in cybersecurity research, and they are seeking an Associate AI Security Researcher to join their CERT Division. The role involves developing approaches for analyzing AI system vulnerabilities, collaborating with experts, and contributing to national AI security strategies.
EducationHigher EducationUniversities
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop state of the art approaches for analyzing robustness of AI systems
Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities
Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems, and effectively participate in the broader security community
Study and influence the AI security and vulnerability disclosure ecosystems
Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community
Uncover and shape some of the fundamental assumptions underlying current best practice in AI security
Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs
Identify opportunities to apply AI to improve existing cybersecurity research
Qualification
Required
BS in machine learning, cybersecurity, statistics, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience
Deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization
Practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation
Familiarity with implementing and applying AI/ML techniques to solving practical problems
Familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART)
Knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
Experience with Python, C/C++, or low-level programming
Experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies
Superb communication skills (oral and written), particularly regarding technical communications with non-experts
Preferred
Solid technical background in AI/ML or cybersecurity, but not both, with a strong desire to rapidly learn on the job
Benefits
8% monthly contribution for your retirement, without having to contribute yourself.
Tuition benefits to CMU and other institutions for you and your dependent children.
Flexible work arrangements and paid parental and military leave.
Annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies.
Relocation assistance
Comprehensive medical, prescription, dental, and vision insurance
Generous retirement savings program with employer contributions.
Ample paid time off and observed holidays
Life and accidental death and disability insurance.
A free Pittsburgh Regional Transit bus pass
Access to our Family Concierge Team to help navigate childcare needs
Fitness center access
Company
Carnegie Mellon University
Carnegie Mellon University is a private research university that offers degrees in technology, arts, and various other fields.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$488.58MKey Investors
ICANNAppalachian Regional CommissioneBPF Foundation
2025-05-29Grant· $0.45M
2024-09-05Grant· $0.5M
2024-08-29Grant· $0.05M
Leadership Team
Amy Coutu
Assistant Vice President, Enterprise Applications
Chirag Patel
Adjunct Professor
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