Research Scientist Intern
Remote · from Australia
Core
Conduct novel research in Protocol Learning (decentralized training of large models on consumer devices) to solve foundational challenges and publish in top-tier ML conferences.
Role type
Research Scientist Intern (PhD candidate)
Builds
Foundational research papers on decentralized model training and inference protocols
Domain
Distributed systems, Deep Learning, Frontier AI
Deliverable
research
Required skills
Deep learning theory, Distributed systems principles, PyTorch proficiency, Large-scale training infrastructure experience
Preferred skills
Experience with frontier model research, Publication in top-tier ML venues
Technologies
PyTorch, Consumer-grade GPUs
Responsibilities
Conduct novel research in Protocol Learning, Publish in Tier-1 venues (NeurIPS, ICML, ICLR), Solve open problems blocking Protocol Learning at scale
Seniority
Intern, PhD candidate
