AI Security Software Engineer — ML & Adversarial Defense

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 100,000 - 130,000; Full time

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 seeks an AI Security Software Engineer to advance cybersecurity research at the Software Engineering Institute. This full-time position involves developing machine learning-based tools and systems for AI security applications, collaborating with leading experts and researchers.

The ideal candidate has a strong background in machine learning, software engineering, and data analytics, along with experience applying statistical modeling in real-world scenarios. Join a world-class team dedicated to making significant impacts on national security.

Qualifications

• 8+ years of experience with a BS, 5+ years with an MS, or 2+ years with a PhD.
• Experience in developing real-world AI/ML solutions.
• Familiarity with cybersecurity best practices.

Responsibilities

• Develop ML-based prototypes for AI security applications.
• Collaborate with researchers to design experimental solutions.
• Support AI red teaming and adversarial machine learning initiatives.

Skills

Machine learning expertise

Software engineering principles

Data analytics

Problem-solving skills

Collaboration

Statistical modeling

Education

BS in computer science, machine learning, cybersecurity, statistics, or related discipline

MS in the same fields

PhD in the same fields

Tools

Containerization technologies

Microservices architectures

Job description

Carnegie Mellon University seeks an AI Security Software Engineer to advance cybersecurity research at the Software Engineering Institute. This full-time position involves developing machine learning-based tools and systems for AI security applications, collaborating with leading experts and researchers.

The ideal candidate has a strong background in machine learning, software engineering, and data analytics, along with experience applying statistical modeling in real-world scenarios. Join a world-class team dedicated to making significant impacts on national security.