Senior Machine Learning Engineer - Secure AI Lab
CMU AI · Pittsburgh, PA
Research instituteonsitesenior
At a glance
Highlights
- Research AI vulnerabilities and build defenses to secure mission-scale systems.
- Advance adversarial machine learning for Defense and National Security missions.
- Prototype robust AI systems and transition 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 and fitness center access
Ideal candidate
Creative, collaborative engineer energized by securing AI for national-security missions. You enjoy prototyping, experimenting with emerging tech, and partnering with researchers to transition robust capabilities to government users.
Requirements
- Experience building machine learning models and systems
- Experience with TensorFlow, PyTorch, Torch and Caffe
- Proficiency in Python, C/C++ and Java
- Experience with data pipelines, ETL processes and backend systems
- Ability to obtain and maintain active Department of War security clearance
- Willing to work onsite in Pittsburgh, PA or Arlington, VA 5 days per week
- Willing to travel up to 25%
- 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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