Machine Learning Engineer, Secure AI Lab

A full-time engineering role at Carnegie Mellon University's Software Engineering Institute for ML engineers who want to work at the intersection of AI security and national defense.

Focus - join the Secure AI Lab to research and engineer defenses against adversarial attacks on AI and ML systems, including counter-AI research and applied adversarial machine learning
Responsibilities - build and test ML models using frameworks like PyTorch and TensorFlow, conduct rapid prototyping, and transition capabilities to government sponsors
Collaboration - work alongside researchers, developers, and government customers; mentor junior team members and contribute to the broader AI Engineering community
Requirements - BS + 8 years, MS + 1 year, or PhD + 2 years in a relevant field; must be able to obtain a Department of Defense security clearance; onsite 5 days/week in Pittsburgh, PA or Arlington, VA

Apply directly through Carnegie Mellon University's careers portal at cmu.wd5.myworkdayjobs.com.

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