Postdoctoral Researcher (Foundational AI: Theory and Architectures)
Core
Develop an original research program advancing fundamental understanding or methodology in modern artificial intelligence through theoretical analysis, algorithm/architecture design, and empirical study.
Role type
Postdoctoral Researcher (Foundational AI: Theory and Architectures)
Builds
New AI architectures and theoretical frameworks validated via controlled and large-scale scaling experiments.
Domain
Artificial Intelligence / Machine Learning Theory
Deliverable
research
Required skills
Theoretical analysis, algorithm design, architecture design, empirical study, independent research formulation, peer-reviewed publication, PyTorch, JAX
Preferred skills
Expertise in optimization and training dynamics, LLM architecture, representation learning, attention mechanisms, test-time computation, reasoning, memory, adaptation, agentic interaction, efficiency, scaling, machine learning theory
Technologies
PyTorch, JAX
Responsibilities
Formulate and investigate important research questions; Derive, design, implement, validate, and iterate on new architectures; Collaborate with researchers on model efficiency, reasoning systems, and large-scale experimentation; Disseminate research through peer-reviewed publications and conference presentations.
Seniority
Postdoctoral, independent researcher