Associate AI Security Researcher

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PA
Posted
47 days ago
Nearby
99+ roles within 25 mi

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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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TL;DR · Associate AI Security Researcher

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Join the Threat Analysis Directorate at CERT Division as an AI Security Researcher and contribute to pioneering research in AI security. Collaborate with elite professionals to develop methodologies and technologies that enhance national AI security strategy, addressing vulnerabilities and threats in AI systems on a global scale. Your daily tasks will include analyzing robustness of AI systems, reverse engineering malicious code, evaluating defense mechanisms, and publishing findings at academic conferences. Essential skills include expertise in machine learning, cybersecurity, and practical experience with tools like Numpy, Pytorch, Tensorflow, ART, NSA Ghidra, IDA Pro, and proficiency in Python or C/C++. Ideal candidates possess a BS with 3 years of experience or an MS with 1 year of experience, along with strong communication skills to engage effectively across various technical domains.

Skills

Python Pytorch Tensorflow Numpy C C++ Ghidra IDA Pro AI/ML Cybersecurity CI/CD RE Vulnerability Assessment Security Research Technical Communication

What you'll do

  • Develop advanced approaches to analyze the robustness of AI systems.
  • Apply developed methods to identify and mitigate vulnerabilities in AI systems.
  • Reverse engineer malicious code to understand threats against AI systems.
  • Evaluate effectiveness of existing tools and techniques for AI security.
  • Influence AI security research by uncovering fundamental assumptions and biases.
  • Publish findings on AI system threats and vulnerabilities to inform the community.

What we're looking for

  • BS in ML, cybersecurity, statistics, or related field with 3+ years experience; MS with 1+ year experience.
  • Practical experience applying cybersecurity knowledge to vulnerability research and analysis.
  • Familiarity with AI/ML software packages (Numpy, Pytorch, Tensorflow) and reverse engineering tools.
  • Experience developing frameworks to evaluate the effectiveness of technologies.
  • Strong communication skills for technical discussions with non-experts.

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