Associate AI Security Researcher

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 to address complex threats.
• Evaluate the effectiveness of tools, techniques, and processes developed by the industry and research community.
• Create thought models, tools, and datasets to characterize threats to AI systems and publish the results.
• Co-author research proposals and present findings to government sponsors, industry decision-makers, and at academic conferences.
• Identify opportunities to apply AI techniques to improve existing cybersecurity research.

What we're looking for

• You must have a BS in machine learning, cybersecurity, statistics, or a related discipline with three years of experience.
• You must have an MS in machine learning, cybersecurity, statistics, or a related discipline with one year of experience.
• 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 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 War (DoW) security clearance.