Vulnerability Analyst, AI & Cybersecurity
Software Engineering Institute | Carnegie Mellon University
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Job summary
The Software Engineering Institute (SEI) at Carnegie Mellon University seeks a staff-level specialist in cybersecurity, AI research, and software engineering to advance national security projects. You will develop AI/ML solutions, analyze vulnerabilities, and translate research into practical tools alongside a collaborative team.
Required qualifications include a PhD with two years experience, MS with five, or BS with eight in CS/ML/cybersecurity, plus willingness to travel up to 25% and the
Qualifications
- 8+ years with BS in CS/ML/cybersecurity or related fields
- MS with 5+ years
- PhD with 2+ years of experience
Responsibilities
- Apply state-of-the-art approaches to understanding systemic vulnerabilities in software systems and how attackers adapt their tradecraft to exploit those vulnerabilities
- Evaluate the effectiveness of tools, techniques, and processes developed by industry and the security research community
- Develop models, tools, and data sets that can be used to characterize the threats to—and vulnerabilities in—software systems, and publish those results
- Develop machine learning-based prototypes, products, and tools to solve and automate security problems related to AI systems
Skills
Education
Tools
Job description
The Software Engineering Institute (SEI) at Carnegie Mellon University seeks a staff-level specialist in cybersecurity, AI research, and software engineering to advance national security projects. You will develop AI/ML solutions, analyze vulnerabilities, and translate research into practical tools alongside a collaborative team.
Required qualifications include a PhD with two years experience, MS with five, or BS with eight in CS/ML/cybersecurity, plus willingness to travel up to 25% and the
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