Associate AI Security Researcher

Carnegie Mellon University

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

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Similar $206k
$155k most similar roles pay here $260k

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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

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 cutting-edge methodologies for assessing AI system vulnerabilities, reverse engineer malicious code, and evaluate defense mechanisms. Your daily tasks include co-authoring research proposals, executing studies, and presenting findings to government and industry stakeholders. Essential skills include a BS or MS in cybersecurity, machine learning, or related fields, practical experience with AI/ML techniques and tools like Numpy, Pytorch, Tensorflow, ART, and reverse engineering software such as NSA Ghidra and IDA Pro. Strong communication skills are crucial for technical discussions with non-experts. This role offers the opportunity to influence national AI security strategy through impactful research and development in a collaborative environment at Carnegie Mellon University’s SEI.

What you'll do

  • Develop state-of-the-art approaches for analyzing AI system robustness.
  • Apply analysis methods to understand vulnerabilities and attacker strategies in AI systems.
  • Reverse engineer malicious code and design new analysis tools for AI security.
  • Evaluate the effectiveness of existing AI security tools and techniques.
  • Identify fundamental assumptions in current AI security practices and challenge them.
  • Publish research findings on threats and vulnerabilities in AI systems.
  • Develop datasets and models to characterize threats and vulnerabilities in AI.

What we're looking for

  • BS in ML, cybersecurity, statistics, or related field with 3+ years experience; MS preferred.
  • 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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