AI Security Software Engineer: ML Prototyping & Red Teaming
Software Engineering Institute | Carnegie Mellon University
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Benefits offered by this job
Job summary
The Software Engineering Institute (SEI) at Carnegie Mellon University seeks an Assistant AI Security Software Engineer to develop ML-based tools and prototypes addressing AI security challenges. You will work with researchers to design experiments, deploy scalable systems, and analyze diverse cybersecurity data in a collaborative setting.
Responsibilities include advancing AI red teaming, leveraging ML and software engineering best practices, and translating research into practical
Qualifications
- BS in computer science or related discipline.
- Understanding of software engineering principles and system design.
- Experience with containerization and microservices architectures.
- Willingness to travel ~5% to SEI/CMU sites and sponsor locations.
- Background check and DoW security clearance.
Responsibilities
- Develop ML-based prototypes, tools, and systems for AI security applications.
- Collaborate with researchers to design and execute experimental AI security solutions.
- Apply software engineering best practices to build scalable systems.
- Analyze large cybersecurity datasets using strong analytical skills.
- Support AI red teaming and adversarial ML initiatives.
- Translate research concepts into practical capabilities and work independently or in teams.
Skills
Education
Tools
Job description
The Software Engineering Institute (SEI) at Carnegie Mellon University seeks an Assistant AI Security Software Engineer to develop ML-based tools and prototypes addressing AI security challenges. You will work with researchers to design experiments, deploy scalable systems, and analyze diverse cybersecurity data in a collaborative setting.
Responsibilities include advancing AI red teaming, leveraging ML and software engineering best practices, and translating research into practical
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