Full-Time

AI Security Researcher

Carnegie Mellon University

Carnegie Mellon University

51-200 employees

University training problem solvers and innovators

No salary listed

No H1B Sponsorship

Pittsburgh, PA, USA

In Person

Willing to travel up to 5% to sponsor sites, conferences, and offsite meetings; relocation assistance available; DoD security clearance required.

US Top Secret Clearance Required

Category
IT & Security (1)
Required Skills
Python
reverse engineering
Tensorflow
Pytorch
Machine Learning
Vulnerability Analysis
NumPy
C/C++
Requirements
  • You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience.
  • You have a deep interest in AI/ML and cybersecurity with a penchant for intellectual curiosity and a desire to make an impact beyond your organization.
  • You have practical experience with applying cybersecurity knowledge toward vulnerability research, analysis, disclosure, or mitigation.
  • You have experience with advising on a range of security topics based on research and expert opinion.
  • You have familiarity with implementing and applying AI/ML techniques to solving practical problems.
  • You have familiarity with common AI/ML software packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART).
  • You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro).
  • You have experience with Python, C/C++, or low-level programming.
  • You have experience developing frameworks, methodologies, or assessments to evaluate effectiveness and robustness of technologies.
  • You have excellent communication skills (oral and written), particularly regarding technical communications with non-experts.
  • You enjoy mentoring and cross-training others and sharing knowledgewithin the broader community.
  • Candidates with strong technical proficiency in either AI/ML or cybersecurity are welcome to apply, provided a demonstrated intellectual agility and commitment required for accelerated learning within the role.
  • You are able to travel to various locations to support the SEI’s overall mission, up to 5% of time.
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.
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. You will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs.
  • Identify opportunities to apply AI to improve existing cybersecurity research.
Carnegie Mellon University

Carnegie Mellon University

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What Carnegie Mellon University does: It provides higher education and research across a wide range of fields, especially technology, engineering, sciences, and the arts, helping students become ready to enter the workforce and pursue innovative work. How its products work: It offers degree programs (bachelor’s, master’s, doctoral) and professional schools where students learn through classes, labs, projects, research opportunities, and collaborations with industry and the community. How it differentiates from competitors: CMU combines strong strengths in STEM with arts and design, interdisciplinary programs, and active collaboration with industry partners, all supported by a culture that emphasizes hands-on problem solving and real-world impact. What the goal is: To train capable graduates who can solve real problems, drive innovation, and contribute to technology, the arts, and society in meaningful ways.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

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Simplify's Take

What believers are saying

  • NFL partnership boosts CMU AI visibility during 2026 Pittsburgh Draft events.
  • Robotics Innovation Center hosts AI Strike Team and Steelers Draft showcase.
  • CMU analytics enhance NFL player evaluation, injury prevention, and team strategies.

What critics are saying

  • Demographic cliff slashes undergraduate enrollment 70–90% within 12–24 months.
  • Title IX antisemitism lawsuits trigger federal funding cuts in 6–12 months.
  • OpenAI poaches faculty like Salakhutdinov, weakening research in 12–18 months.

What makes Carnegie Mellon University unique

  • CMU partners with NFL to integrate researcher analysis into IQ's AI Draft chat tool.
  • Tepper School intersects business, technology, and creativity for AI world preparation.
  • CMU operates Silicon Valley and Qatar campuses offering Business and Computer Science.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Professional Development Budget

Wellness Program

Commuter Benefits

Childcare Support

Growth & Insights

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%