Senior AI Security Researcher — National AI Security

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Retirement contributions

Tuition benefits

Flexible work arrangements

Paid parental leave

Relocation assistance

Job summary

The CERT Division of the Software Engineering Institute (SEI) at Carnegie Mellon University invites applications for an AI Security Researcher. You will collaborate with security experts to advance AI security, perform vulnerability analysis, reverse engineering and develop new methodologies for evaluating defenses and robustness of AI systems.

You will co-author proposals, execute studies, present findings to DoW sponsors and conferences, and contribute to national AI security strategy through

Qualifications

• BS in machine learning, cybersecurity, statistics, or related discipline with 10 years of experience.
• MS in the same fields with 8 years of experience.
• PhD in the same fields with 5 years of experience.
• Experience applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
• Experience advising on a range of security topics based on research and expert opinion.
• Familiarity with implementing and applying AI/ML techniques to solving practical problems.

Responsibilities

• Develop state of the art approaches for analyzing robustness of AI systems.
• Apply these approaches to understanding vulnerabilities in AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
• Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats to AI systems and effectively participate in the broader security community.
• Study and influence the AI security and vulnerability disclosure ecosystems.
• Evaluate the effectiveness of tools, techniques and processes developed by industry and the AI security research community.
• Uncover and shape some of the fundamental assumptions underlying current best practice in AI security.
• Develop thought models, tools and data sets that can be used to characterize the threats to, and vulnerabilities in, AI systems, and publish those results.

Skills

AI/ML

Cybersecurity

Python

C/C++

Reverse engineering

Communication skills

Mentoring

Learning agility

Education

PhD in related fields

MS in related fields

BS in related fields

Tools

Numpy

Pytorch

TensorFlow

ART

Ghidra

IDA Pro

Job description

The CERT Division of the Software Engineering Institute (SEI) at Carnegie Mellon University invites applications for an AI Security Researcher. You will collaborate with security experts to advance AI security, perform vulnerability analysis, reverse engineering and develop new methodologies for evaluating defenses and robustness of AI systems.

You will co-author proposals, execute studies, present findings to DoW sponsors and conferences, and contribute to national AI security strategy through