Senior Researcher: Machine Intelligence - Theory of Large Language Models
Core
Develop and lead an original research programme in machine learning theory, focusing on the foundations of modern neural networks and foundation models.
Role type
Senior Researcher (Machine Learning Theory)
Builds
Theoretical frameworks and explanations for learning, generalization, optimization, and representation in modern ML systems.
Domain
Machine Learning Theory / Theoretical Computer Science
Deliverable
research
Required skills
Mathematical framework development, learning theory, optimization and stochastic dynamics, high-dimensional probability and statistics, theoretical computer science, deep learning foundations, research agenda design, project leadership, mentoring
Preferred skills
Experience connecting theoretical analysis with empirical phenomena, experiments, or algorithm design
Technologies
None stated
Responsibilities
Develop mathematical frameworks explaining learning and generalization; identify theoretically important questions from empirical research; disseminate research via peer-reviewed publications and conferences; mentor interns and less experienced researchers
Seniority
Senior, hands-on IC with leadership responsibilities
