Machine Learning Research Engineer
Core
Research, develop, and implement advanced machine learning techniques for high-consequence national security applications in physics, medicine, and materials science.
Role type
Senior IC machine learning research engineer (applied scientific computing)
Builds
Production ML models and software stacks for complex scientific simulations
Domain
National security / High energy density physics / Predictive medicine / Material science
Deliverable
production ML models
Required skills
foundation models, representation learning, safety & robustness, uncertainty quantification, interpretability, physics-constrained ML, graph-based learning, PyTorch, TensorFlow, large-scale deep learning, statistical modeling
Preferred skills
high-performance computing, GPU programming, parallel programming, cloud computing, numerical simulations, subject matter expertise in physics/biology/engineering, applied mathematics
Technologies
PyTorch, TensorFlow
Responsibilities
Research and evaluate new ML techniques for national security applications; Adapt and deploy ML software on large-scale HPC clusters; Define and plan experimental modeling efforts; Guide development of practical ML solutions with limited/noisy data; Author grant proposals and present at scientific conferences; Lead small to mid-sized research teams
Seniority
Senior, hands-on IC with research leadership