Machine Learning Engineer - Secure AI Lab
CMU AI · Pittsburgh, PA
Research instituteonsite
At a glance
Highlights
- Protect AI systems from adversaries in mission-scale defense capabilities.
- Build well-engineered prototypes to operationalize robust AI for national security.
- Advance adversarial ML by transitioning capabilities to government sponsors.
What they offer
- Comprehensive medical, prescription, dental and vision insurance
- Generous retirement savings program with employer contributions
- Tuition benefits
- Paid time off and observed holidays
- Life and accidental death and disability insurance
- Free Pittsburgh Regional Transit bus pass
- Fitness center access
Ideal candidate
Creative, curious and collaborative engineer energized by national-security impact who cares about building secure, trustworthy AI and bridging cutting-edge research to real mission use.
Requirements
- Ability to obtain and maintain an active Department of War security clearance
- Willing to travel up to 25% of the time
- remote policy
- Onsite 5 days per week
Lab profile
About CMU AI
Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.
What they build
- Multimodal behavior analysis algorithms
- Autonomy systems
- Cybersecurity analytics prototypes
Known for
- Multimodal machine learning
- Computer vision and human behavior modeling
- AI engineering for defense
- Software engineering and cyber resilience
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