Job description
Carnegie Mellon University, Software Engineering Institute • Pittsburgh, PA, Washington, DC
Pittsburgh, PA, Washington, DC
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In this role, you'll develop engineering solutions for AI security research, focusing on vulnerabilities, defenses, and robustness of AI/ML systems.
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Build machine learning models using TensorFlow, PyTorch, and modern languages while working with data pipelines.
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Experiment with emerging ML techniques in computer vision, natural language processing, and trusted AI systems.
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Conduct rapid prototyping and evaluate systems for performance, security, and robustness using novel testing approaches.
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.