Remote Jobs at Pluralis Research
Pluralis Research
Artificial Intelligence • Web 3
Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
November 24
Job not on LinkedIn
Internship for a Research Scientist focusing on Protocol Learning research during PhD. Opportunity to contribute to publications in top-tier ML conferences.
November 6
Senior Platform Engineer working on AI model training infrastructure. Collaborating on multi-cloud systems and distributed training for decentralized systems.
October 23
Engineer optimising distributed systems for AI model training at Pluralis Research. Work on P2P connections, scalability, and contribute to AI infrastructure.
October 23
Job not on LinkedIn
ML Engineer implementing and optimizing model-parallel AI training systems at Pluralis. Contributing to an open AI ecosystem by allowing decentralized model training among participants.
October 23
Job not on LinkedIn
Early-career engineer role to work with Pluralis Research on distributed ML systems. Focused on scaling infrastructure and contributing to research projects.
October 23
Research Scientist working on Protocol Learning—training decentralized models across consumer devices. Join a team tackling challenges in AI and distributed systems.
October 23
Job not on LinkedIn
Senior Frontend Engineer developing visualisation tools for decentralized model training. Collaborating with research and product teams to create user-friendly interfaces.
