Machine Learning - Postdoctoral Researcher
Core
Conduct fundamental R&D in machine learning and statistical methods for AI Safety & Security, Foundation Models, and uncertainty quantification in domains like material science and bio assurance.
Role type
Postdoctoral Researcher (IC)
Builds
Advanced ML models, analysis methodologies, and technical reports for national security applications.
Domain
National Security / AI Safety / Material Science / Bio Assurance
Deliverable
production ML models | research
Required skills
Advanced statistical or ML model development, PyTorch/TensorFlow, scientific programming in Python, large language models, graph neural networks, multimodal models, generative models, robustness, explainable AI
Preferred skills
High-performance computing, GPU programming, parallel programming, cloud computing, mentorship, scientific applications (material science, climate science)
Technologies
PyTorch, TensorFlow, Python
Responsibilities
Research, design, implement, and apply advanced ML methods; define and plan experimental/modeling efforts; collect and analyze data; document results in reports and publications; contribute to grant proposals; pursue independent research interests.
Seniority
Postdoctoral (recent PhD holder)