AI Security Software Engineer

What you'll do

• Develop machine learning-based prototypes, tools, and systems for AI security applications.
• Design and execute experimental AI security solutions in collaboration with researchers and stakeholders.
• Apply software engineering best practices to build scalable and maintainable systems.
• Process and analyze large, diverse cybersecurity datasets including malware, NetFlow, and incident data.
• Support AI red teaming and adversarial machine learning initiatives.
• Translate research concepts into practical, operational capabilities and automated solutions.

What we're looking for

• BS in computer science, machine learning, cybersecurity, or statistics with experience; OR MS with ; OR PhD with .
• Understanding of software engineering principles and system design.
• Experience with containerization and microservices architectures.
• Ability to obtain and maintain a Department of War (DoW) security clearance.
• Experience applying statistical modeling and advanced data analytics techniques (preferred).
• Background in developing AI/ML solutions in real-world settings (preferred).
• Familiarity with applied machine learning domains such as NLP, computer vision, or autonomy (preferred).
• Experience and knowledge in cybersecurity best practices (preferred).