Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI.
Research partnerships at the frontier of decentralized AI. Pluralis actively collaborates with academic researchers to advance the state of Protocol Learning. This is not a job posting, but an invitation for established researchers to explore joint publications and research initiatives focused on low-bandwidth model-parallel training and decentralized AI systems.
Joint Publications: Co-author papers targeting top ML conferences and journals.
Research Exchanges: Share insights and findings in areas of mutual interest.
Access to Unique Infrastructure: Leverage our distributed training environment for novel experiments.
Interdisciplinary Connections: Bridge ML research with distributed systems, economics, and protocol design.
Potential for Funding: Research grants may be available for promising collaborative projects.
PhD Sponsorship: We are open to sponsoring PhD's for exceptional students.
Active Researchers: Current faculty, postdocs, or PhD candidates actively publishing in relevant fields.
Relevant Expertise: Background in distributed ML, model parallelism, federated learning, or related areas.
Publication Track Record: Demonstrated ability to publish in peer-reviewed venues.
Collaborative Mindset: Interest in open exchange of ideas and joint problem-solving.
Alignment with Mission: Enthusiasm for democratizing access to frontier AI capabilities.
Complete this brief form describing your research interests and relevant experience
Include links to representative publications or ongoing work
Our research team will review submissions and reach out to discuss potential collaborations
No formal commitment is required to apply—this is simply an invitation to begin a conversation
Backed by Union Square Ventures and other tier-1 investors, we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please get in touch.
At Pluralis Research, we are on an exciting journey to redefine the landscape of AI with our innovative Protocol Learning approach. As an Academic Collaboration opportunity, we invite established researchers to partner with us to explore groundbreaking topics in decentralized AI. This isn't just a job—it's a chance to be part of a movement that promotes accessibility in AI, free from the constraints imposed by large corporations. Our collaborations can take many forms, including co-authoring publications for top-tier ML conferences, engaging in research exchanges, and leveraging our unique distributed training environment for novel experiments. We're particularly interested in individuals with strong backgrounds in distributed machine learning, model parallelism, or federated learning, and a proven track record of publishing in reputable venues. Collaboration is at the heart of what we do, and we are excited to connect with those who share our passion for democratizing AI. If you're an active researcher looking for a place to share your insights and contribute to pioneering work in decentralized AI systems, we'd love to hear from you! With the potential for funding and PhD sponsorship, this is a unique opportunity to collaborate with a world-class team backed by prominent investors. Let's work together to shape the future of AI—if this resonates with you, please reach out and let's start a conversation.
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