C

Carnegie Mellon University

University-backed pre-seed fund and accelerator

AI Security Researcher

Full-TimeUpdated
No salary listed
Mid, Senior, Expert
Bachelor's, Master's, PhD
Pittsburgh, PA, USA
In PersonOccasional travel to sponsor sites, conferences, and offsite meetings is required, approximately 5%.
AI & Machine LearningAI Research
No H1B Sponsorship
US Top Secret Clearance Required

About the job

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 knowledge within 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, including within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War 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 fundamental assumptions underlying current best practice in AI security.
  • Develop threat models, tools, and data sets that can be used to characterize threats to and vulnerabilities in AI systems, and publish those results.
  • Use research 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.

About the company

C

Carnegie Mellon University

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CMU VentureBridge provides pre-seed funding and an accelerator for startups with at least one CMU-affiliated founder. It offers a 12-week summer program combining virtual and in-person activities, mentorship from experienced founders, and access to a venture network. Each accepted company receives a $25,000 grant from the university, supported by foundations, plus coworking spaces in tech hubs. The program culminates in a Demo Day to pitch to investors, and alumni have raised over $210 million in follow-on funding since 2018.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, PA

Founded

2018

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Simplify's Take

What believers are saying

  • FY25 endowment returned 10.9%, lifting market value to $3.5 billion.
  • FY25 gifts and gains exceeded distributions, adding $252.6 million net to endowment assets.
  • CMU earned six No. 1 U.S. News graduate rankings in April 2026, strengthening fundraising appeal.

What critics are saying

  • CMU cut 18 School of Computer Science jobs in August 2025, signaling cost pressure.
  • Federal research reimbursement caps threaten a $40 million shortfall, squeezing university support.
  • The Canaan lawsuit over Qatar funding and antisemitism keeps reputational and discovery risk active.

What makes Carnegie Mellon University unique

  • Charles A. Kennedy has led CMU investing since 2010, emphasizing global private assets.
  • CMU endowment reached $3.5 billion by June 30, 2025, with disciplined stewardship.
  • The Dietrich Foundation adds recurring capital, amplifying CMU’s long-duration funding base.

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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

Company News

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