Machine Learning Engineer, Secure AI Lab
Carnegie Mellon UniversityPittsburgh, PA
AI safety & policy
Information security
Full-time
AI safety & policy
Information security
Full-time
Routes to impact
Direct high impact on an important cause
Description
Build and evaluate secure machine learning systems that support research on AI vulnerabilities, defenses, and adversarial ML for government applications.
- Build ML models, data pipelines, ETL processes, and backend systems using frameworks like PyTorch and TensorFlow
- Design prototypes and test AI systems for performance, security, and robustness in relevant environments
- Investigate emerging AI technologies and refine processes, practices, and tools for AI engineering
- Collaborate with researchers and government sponsors to develop, transition, and guide AI capabilities
- Mentor teammates and contribute technical leadership through design sessions, teaching, and shared engineering practices
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