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Carnegie Mellon University

University training problem solvers and innovators

Assistant Vulnerability Analyst

Offensive Security & TestingPosted on Nov 9
Full-timePittsburgh, PA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, machine learning, cybersecurity, or a related discipline is required.
  • Hands-on experience in artificial intelligence-based research, vulnerability research and analysis, and statistical modeling is required.
  • Knowledge of rigorous research methods in computer science, engineering, security, artificial intelligence, and related fields is required.
  • Experience developing software in Python and other modern programming languages is required.
  • Experience building artificial intelligence and machine learning solutions that are usable outside the laboratory is required.
  • Knowledge of cybersecurity best practices and internet fundamentals, including network protocols, provider operations, and governance, is required.
  • Ability to provide sound advice on security topics grounded in research and expert judgment is required.
  • Ability to explain complex technical approaches clearly in writing and in person to managers, technical staff, and customers is required.
  • Ability to collaborate diplomatically with people inside and outside the organization, plan and organize complex projects, and handle confidential and sensitive information carefully is required.
  • Willingness to travel 25% outside the office location is required.
  • Ability to obtain and maintain a Department of War security clearance is required, subject to a background investigation.

Responsibilities

  • Apply state-of-the-art approaches to understand systemic vulnerabilities in software systems and how attackers adapt their tradecraft to exploit those vulnerabilities.
  • Evaluate the effectiveness of tools, techniques, and processes developed by industry and the security research community.
  • Develop models, tools, and datasets to characterize threats to and vulnerabilities in software systems, and publish the results.
  • Develop machine learning-based prototypes, products, and tools to solve and automate solutions to artificial-intelligence-related security problems.
  • Translate research concepts into practical, operational capabilities, working independently and as part of a collaborative team.

About the Company

Carnegie Mellon University

University training problem solvers and innovators

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
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Pittsburgh, PA
Founded
2018

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