Senior AI Security Software Engineer

Carnegie Mellon University

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Pittsburgh, PAArlington, VA
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Similar $185k
$135k $234k
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This listing doesn't post a salary. Most similar roles pay $154,450–$216,000.

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Employer

About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 71 open roles on FindRole.

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At a glance

TL;DR · Senior AI Security Software Engineer

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The Senior AI Security Software Engineer joins the CERT Division of the Software Engineering Institute to advance the security and resilience of critical infrastructure. Working with researchers and customers, you will develop machine learning-based prototypes, tools, and systems to automate solutions for AI security problems. Your daily work involves designing and executing experimental AI security solutions, supporting AI red teaming, and conducting adversarial machine learning research. You will process diverse cybersecurity datasets, including malware samples and NetFlow data, while applying software engineering best practices to build scalable, maintainable systems. Required skills include experience with containerization, microservices architectures, and system design. You will translate research concepts into operational capabilities within the domains of generative AI, large language models, data visualization, and security analysis of AI systems.

Skills

Machine Learning AI Security Generative AI Large Language Models Adversarial Machine Learning Data Analytics Natural Language Processing Computer Vision Containerization Microservices Data Visualization NetFlow Cybersecurity Statistical Modeling System Design

What you'll do

  • Develop machine learning-based prototypes, tools, and systems for AI security applications.
  • Design and execute experimental AI security solutions in collaboration with researchers and stakeholders.
  • Apply software engineering best practices to build scalable and maintainable systems.
  • Process and analyze large, diverse cybersecurity datasets including malware, NetFlow, and incident data.
  • Support AI red teaming and adversarial machine learning initiatives.
  • Translate research concepts into practical, operational capabilities and automated solutions.

What we're looking for

  • Must have a BS in computer science, machine learning, cybersecurity, or statistics with experience.
  • Must have an MS in computer science, machine learning, cybersecurity, or statistics with experience.
  • Must have a PhD in computer science, machine learning, cybersecurity, or statistics with experience.
  • Must be able to obtain and maintain a Department of War (DoW) security clearance.
  • Must have an understanding of software engineering principles and system design.
  • Must have experience with containerization and microservices architectures.
  • Experience applying statistical modeling and advanced data analytics techniques (preferred).
  • Experience in developing AI/ML solutions in real-world settings (preferred).

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