AI Security Software Engineer - Propel ML for Cyber Defense

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); 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

Relocation assistance

Job summary

The Software Engineering Institute at Carnegie Mellon University is seeking an AI Security Software Engineer to enhance cybersecurity through AI-driven innovations. Candidates should have a strong foundation in machine learning and software engineering principles.

With a focus on advanced security solutions, the role demands collaboration with leading experts and the processing of complex datasets. Competitive benefits, including retirement contributions and educational assistance, are offered in a dynamic work environment.

Qualifications

• Understanding of software engineering principles and system design.
• Experience with containerization and microservices architectures.
• Ability to work independently and as part of a collaborative team.

Responsibilities

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

Skills

Machine learning development

Software engineering principles

Analytical skills

Containerization experience

Statistical modeling

Education

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

MS in the same fields

PhD in the same fields

Job description

The Software Engineering Institute at Carnegie Mellon University is seeking an AI Security Software Engineer to enhance cybersecurity through AI-driven innovations. Candidates should have a strong foundation in machine learning and software engineering principles.

With a focus on advanced security solutions, the role demands collaboration with leading experts and the processing of complex datasets. Competitive benefits, including retirement contributions and educational assistance, are offered in a dynamic work environment.