Job description
Carnegie Mellon University, Software Engineering Institute • Pittsburgh, PA, Washington, DC
Pittsburgh, PA, Washington, DC
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In this role, you'll develop machine learning-based prototypes, tools, and systems for AI security applications, translating research concepts into practical operational capabilities.
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Collaborate with researchers and stakeholders to design and execute experimental AI security solutions.
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Apply software engineering best practices to build scalable, maintainable systems.
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Process and analyze large, diverse cybersecurity datasets including malware, NetFlow, and incident data.
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Support AI red teaming and adversarial machine learning initiatives using innovative, research-driven approaches.
The Software Engineering Institute at Carnegie Mellon University is a Federally Funded Research and Development Center that conducts research for the United States government. They often hire for roles focused on cybersecurity research.
Applications are handled by the employer.
AI Safety Careers does not process applications directly.