Assistant AI Security Researcher

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PA
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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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

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At a glance

TL;DR · Assistant AI Security Researcher

The Assistant AI Security Researcher joins the Threat Analysis Directorate within the CERT Division of the Software Engineering Institute. This role involves advancing the state of the art in AI security by developing approaches to analyze system robustness and identifying vulnerabilities. You will reverse engineer malicious code, design new analysis tools, and evaluate the effectiveness of existing defenses and mitigations. Key responsibilities include co-authoring technical proposals, executing research, and presenting findings to government and industry sponsors. Required skills include proficiency in Python, C/C++, and low-level programming, alongside experience with AI/ML software packages like Numpy, Pytorch, Tensorflow, and ART. Candidates should also possess familiarity with reverse engineering tools such as Ghidra and IDA Pro to address complex threats to AI systems.

What you'll do

  • Develop state-of-the-art approaches for analyzing the robustness of AI systems.
  • Identify and assess vulnerabilities in AI systems and analyze how attackers exploit them.
  • Reverse engineer malicious code and design new analysis methods and tools.
  • Evaluate the effectiveness of security tools, techniques, and processes developed by industry and research communities.
  • Develop thought models, tools, and datasets to characterize threats to AI systems.
  • Co-author technical proposals and present research findings to government and industry sponsors.
  • Identify opportunities to apply AI to improve existing cybersecurity research.

What we're looking for

  • You must have a BS in machine learning, cybersecurity, statistics, or a related discipline.
  • You must have practical experience applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
  • You must have experience with Python, C/C++, or low-level programming.
  • You must have experience developing frameworks, methodologies, or assessments to evaluate the effectiveness and robustness of technologies.
  • You must have familiarity with implementing and applying AI/ML techniques to solve practical problems.
  • You must have familiarity with common AI/ML software packages and tools such as Numpy, Pytorch, Tensorflow, and ART.
  • You must have knowledge or familiarity with reverse engineering tools like NSA Ghidra or IDA Pro.
  • You must be able to obtain and maintain a Department of Defense security clearance.

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