Senior ML Engineer – Secure AI for Defense
Software Engineering Institute | Carnegie Mellon University
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Job summary
Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA or Arlington, VA, is seeking a Machine Learning Engineer to advance secure AI systems for government sponsors. The role focuses on vulnerabilities of AI/ML and building robust defenses.
The Secure AI Lab focuses on protecting AI systems and maturing AI engineering for defense and national security. You will solve problems for government sponsors by analyzing, designing, and building responsible AI systems, mentoring
Qualifications
- Comprehensive knowledge of machine learning.
- Experience with adversarial ML desirable.
- Experience turning research into prototypes or capabilities.
- Ability to lead technical projects in novel areas.
- Strong written and verbal communication skills; convey ideas clearly.
- Experience publishing technical artifacts showcasing your work.
- Strong collaboration skills and willingness to mentor others.
Responsibilities
- Identify emerging AI technologies and related AI-adjacent tech.
- Define processes, practices, and tools for working with AI.
- Design and build well-engineered prototypes of AI systems.
- Transition and guide AI capabilities to government sponsors.
- Mentor team members and contribute to division-wide knowledge.
Skills
Education
Tools
Job description
Software Engineering Institute | Carnegie Mellon University in Pittsburgh, PA or Arlington, VA, is seeking a Machine Learning Engineer to advance secure AI systems for government sponsors. The role focuses on vulnerabilities of AI/ML and building robust defenses.
The Secure AI Lab focuses on protecting AI systems and maturing AI engineering for defense and national security. You will solve problems for government sponsors by analyzing, designing, and building responsible AI systems, mentoring
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