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
October 23
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
• Publish in Tier-1 Venues: At the core of Protocol Learning are hard research problems. There are foundational papers up for grabs. Solve these problems, and publish.
🎯 Requirements
• Research Excellence: PhD in Machine Learning with publications in top-tier conferences (NeurIPS, ICML, ICLR). • Distributed ML Experience: Exposure to distributed training, or federated learning. • Implementation Skills: Strong programming abilities in PyTorch, with experience training models across multiple devices. • Bonus: Experience with large language models, post training, RL etc.
🏖️ Benefits
• Equity-Heavy Package: We offer significant ownership or token allocations for key technical contributors in addition to high base salary. • Visa Sponsorship: Optional full visa sponsorship and relocation support to either US or Australia. • Remote-First Culture: Flexible work environment with team members distributed globally. We have two hubs; San Fransisc, and Melbourne, with the option for hybrid work if desired. • Cutting-Edge Domain: Work at the intersection of AI and distributed systems, tackling some of the most challenging research problems in what is about to be one of the largest intersections of two previously non-overlapping fields ever.
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