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Software Engineering Institute | Carnegie Mellon University · 2 hours ago

Senior AI Security Researcher

Pittsburgh, PA

Full-time

Onsite

Senior Level

5+ years exp

Carnegie Mellon University is a leading institution in cybersecurity research, seeking a Senior AI Security Researcher for their CERT Division. The role involves developing methodologies to analyze and enhance the security of AI systems, collaborating with experts to address vulnerabilities, and influencing national AI security strategies.

ComputerCyber SecurityEducationSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.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

AI/ML expertiseCybersecurity knowledgeVulnerability researchReverse engineering toolsPython programmingC/C++ programmingAI/ML software toolsCommunicationMentoring others

Required

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

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

Experience with advising on a range of security topics based on research and expert opinion

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

Excellent communication skills (oral and written), particularly regarding technical communications with non-experts

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

Able to travel to various locations to support the SEI's overall mission

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.

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

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At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice.

Founded in 1984

Pittsburgh, Pennsylvania, USA

501-1000 employees