AI Security Researcher

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PA
Posted
43 days ago

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Similar $204k
$152k most similar roles pay here $256k

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 43 open roles on FindRole.

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TL;DR · AI Security Researcher

The AI Security Researcher role at the CERT Division of the Software Engineering Institute (SEI) involves collaborating with a team of security experts to advance the state of the art in AI security. This position requires developing cutting-edge approaches for analyzing the robustness and vulnerabilities of AI systems, reverse engineering malicious code, and evaluating defense mechanisms. Key responsibilities include co-authoring research proposals, executing studies, and presenting findings at academic conferences. The ideal candidate should have a background in machine learning, cybersecurity, or related fields, along with experience in applying AI/ML techniques to practical problems using tools like Numpy, Pytorch, and TensorFlow. Familiarity with reverse engineering tools such as NSA Ghidra and IDA Pro is also essential, alongside proficiency in Python, C/C++, and low-level programming. This role offers the opportunity to work on high-impact projects that influence national AI security strategy.

What you'll do

  • Develop advanced approaches to analyze the robustness of AI systems.
  • Identify and assess vulnerabilities in AI systems for high-impact customers.
  • Reverse engineer malicious code to understand threats to AI systems.
  • Evaluate effectiveness of existing tools and techniques in AI security.
  • Influence AI security research by uncovering fundamental assumptions.
  • Publish findings on AI system threats and vulnerabilities, aiding technology testing.

What we're looking for

  • Bachelor’s degree in ML/cybersecurity with 8 years of experience or higher education equivalent.
  • Deep interest and practical experience in AI/ML and cybersecurity research.
  • Expertise in applying cybersecurity knowledge for vulnerability analysis and mitigation.
  • Familiarity with AI/ML software packages (e.g., Numpy, Pytorch) and reverse engineering tools.
  • Experience developing methodologies to evaluate the effectiveness of security technologies.
  • Strong communication skills for technical discussions with non-experts.
  • Willingness to mentor others and contribute to the broader cybersecurity community.

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