AI Security Software Engineer - ML Tools & Red Teaming

Carnegie Mellon University

Arlington (VA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

8% employer retirement contribution
Tuition benefits
Flexible work arrangements
Paid parental leave
Professional development opportunities

Job summary

Carnegie Mellon University is seeking an AI Security Software Engineer for its CERT Division to develop advanced AI security tools and systems. The role offers the opportunity to work with elite professionals and influence national security strategies through AI advancements.

Ideal candidates will hold at least a PhD in a relevant field and have substantial experience in machine learning and cybersecurity practices. Attractive benefits include flexible work arrangements and professional development opportunities.

Qualifications

  • Experience with statistical modeling and advanced data analytics techniques.
  • Strong analytical and problem-solving skills.
  • Ability to communicate effectively across technical and non-technical audiences.

Responsibilities

  • Develop machine-learning based prototypes and systems for AI security.
  • Collaborate with researchers and stakeholders.
  • Process and analyze cybersecurity datasets.
  • Support AI red-team and adversarial machine-learning initiatives.

Skills

Machine learning development
Software engineering principles
Data analytics
Cybersecurity best practices
Containerization
Microservices architectures
Statistical modeling

Education

PhD in a relevant field
MS in a relevant field
BS in a relevant field

Job description

Carnegie Mellon University is seeking an AI Security Software Engineer for its CERT Division to develop advanced AI security tools and systems. The role offers the opportunity to work with elite professionals and influence national security strategies through AI advancements.

Ideal candidates will hold at least a PhD in a relevant field and have substantial experience in machine learning and cybersecurity practices. Attractive benefits include flexible work arrangements and professional development opportunities.

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