The Secure AI Lab focuses on improving the security and robustness of AI systems by researching vulnerabilities and developing practical mitigations
Job Summary
The Secure AI Lab focuses on improving the security and robustness of AI systems by researching vulnerabilities and developing practical mitigations.
As a Senior Machine Learning Engineer, you will analyze, design, and build responsible AI systems for government sponsors, transitioning capabilities and providing guidance.
This role involves working with cutting-edge research at Carnegie Mellon University, experimenting with modern ML frameworks, and collaborating with a world-class research community.
Matching Summary
The Secure AI Lab focuses on improving the security and robustness of AI systems by researching vulnerabilities and developing practical mitigations.
Skills & Requirements
Must-have
Machine learning frameworks (TensorFlow, PyTorch)
Programming languages (Python, C/C++, Java)
Data pipelines and ETL processes
AI system design and building
Technical experimentation and evaluation
Collaboration with researchers and sponsors
Nice-to-have
Creative, curious, energetic, collaborative
Making a difference in government organizations
Mentoring and teaching junior team members
Experience in adversarial machine learning
Key Requirements
10 years experience with Bachelor's degree
8 years experience with MS degree
5 years experience with PhD degree
Ability to obtain and maintain a Department of War security clearance
Willingness to work onsite 5 days per week
Willingness to travel up to 25%
Work Rights
Must be able to obtain and maintain a Department of War security clearance