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
Research Scientist Intern
Job not on LinkedIn
November 24
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
📋 Description
• Contribute to groundbreaking research in Protocol Learning during your PhD. • Author foundational papers in an emerging field. • Conduct novel research with the goal of publishing in tier-1 ML conferences.
🎯 Requirements
• Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR, etc.) • Are working in a core technical area relevant to frontier models • Strong theoretical understanding of deep learning and distributed systems principles. • Proficiency in PyTorch and experience with large-scale training infrastructure.
🏖️ Benefits
• Access to significant compute • Focused mentorship from senior scientists
Apply Now