Pluralis Research invites established researchers for collaboration on decentralized AI through joint publications and shared insights, focusing on model-parallel training.

As a Machine Learning Engineer, you will implement and optimize decentralized training systems for AI models, focusing on distributed training, performance optimization, and deployment of sharded models.

Conduct research in Protocol Learning, publish findings, and engage with distributed machine learning on consumer-grade devices. Transform ideas into foundational papers.