Research Scientist
Core
Solving open problems in decentralized, communication-efficient training and inference of large models on consumer-grade devices via the internet.
Role type
Senior IC research scientist (distributed machine learning)
Builds
Frontier-scale AI models trained in a permissionless, decentralized manner
Domain
Distributed machine learning, decentralized AI infrastructure
Deliverable
production ML models
Required skills
distributed training, model compression, fault tolerance, heterogeneous compute handling, robustness to malicious participants, PyTorch implementation
Preferred skills
foundation model pre-training, post-training, reinforcement learning
Technologies
PyTorch, Subspace Networks, Factored Gossip DiLoCo, AsyncMesh, Sentinel
Responsibilities
Identify and solve open research problems blocking Protocol Learning at scale; publish findings in top-tier venues; integrate research methods into live training runs with engineering teams
Seniority
Senior, hands-on IC