Associate Machine Learning Engineer, Secure AI Lab
Carnegie Mellon University, Software Engineering Institute · Added 3 days ago
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Pittsburgh, PA, Washington, DC
In this role, you'll engineer solutions for AI and ML security by researching vulnerabilities and developing defences.
Build machine learning models using frameworks like TensorFlow and PyTorch with Python, C++, and Java.
Experiment with ML frameworks, methods, and algorithms across computer vision, natural language processing, and other domains.
Conduct rapid prototyping and testing to evaluate system performance and security in relevant environments.
Collaborate with researchers, developers, and government sponsors whilst mentoring team members.
The Software Engineering Institute at Carnegie Mellon University is a Federally Funded Research and Development Center that conducts research for the United States government. They often hire for roles focused on cybersecurity research.
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