Base: $60,000 - $80,000; bonus/equity: not specifi...
Hybrid
Ph.d. in computer science or related field
Experience with adversarial machine learning
Strong python programming and ml frameworks
This position focuses on advancing the science and practice of securing advanced AI systems against sophisticated adversaries within a mission-driven R&D environment
Job Summary
This position focuses on advancing the science and practice of securing advanced AI systems against sophisticated adversaries within a mission-driven R&D environment.
The successful candidate will conduct original research in adversarial machine learning, model robustness, and secure AI system design while collaborating with government agencies.
Opportunities include publishing in leading conferences like NeurIPS and ICML as well as transitioning capabilities into operational use for national security missions.
Matching Summary
This position focuses on advancing the science and practice of securing advanced AI systems against sophisticated adversaries within a mission-driven R&D environment.
Salary
Base: $60,000 - $80,000; Bonus/Equity: Not specified; Benefits: Regular Faculty benefits available
Skills & Requirements
Must-have
Ph.D. in Computer Science or related field
Experience with adversarial machine learning
Strong Python programming and ML frameworks
Ability to obtain U.S. security clearance
Empirical research design and evaluation skills
Nice-to-have
Familiarity with white-box threat models
Experience with MLOps and distributed training
Knowledge of agentic system architectures
Background in national security applications
Record of publications in top-tier venues
Key Requirements
Ph.D. in Computer Science, Machine Learning, or Cybersecurity
Must be able to obtain U.S. security clearance
U.S. citizenship required for classified access
Demonstrated research experience in AI safety/security
Strong programming skills in Python and PyTorch/TensorFlow