Pluralis Research
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
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.
Research Scientist Intern
🕒 December 15, 2025
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Pluralis Research
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
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.
📋 Description
• Contribute to groundbreaking research in Protocol Learning during your PhD. • Join Pluralis for a 6-month research internship focused on publishing. • Conduct novel research within the domain of Protocol Learning, with the explicit goal of publishing in tier-1 ML conferences (NeurIPS, ICML, ICLR).
🎯 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
• Professional-level English proficiency (written and spoken).
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