Software Engineering Institute | Carnegie Mellon University ยท 2 days ago
Senior AI Security Researcher
The Software Engineering Institute at Carnegie Mellon University is seeking a Senior AI Security Researcher to join their CERT Division. The role focuses on advancing AI security through vulnerability discovery, assessments, and collaboration with various stakeholders in the cybersecurity community.
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
You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization
You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation
You have experience with advising on a range of security topics based on research and expert opinion
You have familiarity with implementing and applying AI/ML techniques to solving practical problems
You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART)
You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro)
You have experience with Python, C/C++, or low-level programming
You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies
You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts
You enjoy mentoring and cross-training others and sharing knowledge within the broader community
Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role
You are able to travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance
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.
Healthy work/life balance with 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
Company
Software Engineering Institute | Carnegie Mellon University
At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice.
Funding
Current Stage
Late StageLeadership Team
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