Senior Machine Learning Engineer - Secure AI Lab
Software Engineering Institute | Carnegie Mellon UniversityVirginia, United States • Pittsburgh, Pennsylvania, United States
Posted January 21, 2026
Full Time
About the Company
At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.
Job Description
The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.
Requirements
- Comprehensive knowledge of machine learning
- Previous experience in adversarial machine learning desirable but not required
- A track record of using well-established engineering practices to solve difficult problems
- An understanding of how to convert research results into functioning prototypes or capabilities
- Experience leading technical projects in novel areas with limited previous work to build upon
- Strong written and verbal communication skills
- Ample experience with publishing written or technical artifacts showcasing your work
- Strong collaboration skills for working with colleagues and sponsors
- Willingness to guide and mentor junior team members
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
