Physics-Informed Machine Learning Specialist
Core
Integrating AI/ML methodologies with physics-based applications and computational modeling to support national security missions via high-performance computing.
Role type
Senior IC Physics-Informed Machine Learning Specialist (SES.3/SES.4)
Builds
Novel application areas in national security, including surrogate models, model validation, and uncertainty quantification.
Domain
National security, computational science, engineering, and high-performance computing.
Deliverable
production ML models
Required skills
Physics-informed machine learning, deep learning, uncertainty quantification, high-performance computing, statistical modeling, algorithm optimization, computational mechanics, applied statistics
Preferred skills
Agentic AI workflows, reinforcement learning, zero/few-shot learning, multi-physics simulation codes, leadership of technical projects
Technologies
High-performance computing architectures, deep learning frameworks, statistical inference tools
Responsibilities
Develop and apply complex algorithms for national security applications; provide technical leadership and guidance to project teams; conduct highly complex analysis in ML/AI and uncertainty quantification; collaborate with multidisciplinary teams to meet programmatic goals.
Seniority
Senior, hands-on IC with strategic influence (SES.3/SES.4)