AI Security Software Engineer — ML & Adversarial Security

Carnegie Mellon University

Pittsburgh (Allegheny County)

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 for employees and dependents
Flexible work arrangements
Paid parental and military leave
Professional development opportunities

Job summary

Carnegie Mellon University is seeking an AI Security Software Engineer to help advance AI security efforts critical to national infrastructure. This role involves developing machine learning-based prototypes and collaborating with researchers to tackle AI security challenges.

The ideal candidate will have substantial experience in machine learning, software engineering, and data analytics. Opportunities for professional development and a supportive workplace culture are key highlights of this position.

Qualifications

  • 8+ years of experience with BS, 5+ years with MS, or 2+ years with PhD.
  • Strong understanding of software engineering principles and system design.
  • Experience with containerization and microservices architectures.

Responsibilities

  • Develop machine learning-based prototypes and tools for AI security applications.
  • Collaborate with researchers to execute experimental AI security solutions.
  • Process and analyze large cybersecurity datasets.

Skills

Machine Learning Development
Data Analysis
Software Engineering Principles
Containerization
Cybersecurity Best Practices

Education

BS in Computer Science or related field
MS in Computer Science or related field
PhD in Computer Science or related field

Job description

Carnegie Mellon University is seeking an AI Security Software Engineer to help advance AI security efforts critical to national infrastructure. This role involves developing machine learning-based prototypes and collaborating with researchers to tackle AI security challenges.

The ideal candidate will have substantial experience in machine learning, software engineering, and data analytics. Opportunities for professional development and a supportive workplace culture are key highlights of this position.

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