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Academic Collaboration

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.

Academic Collaboration

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.

Collaboration Opportunities

  • 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.

What We're Looking For

  • 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.

Application Process

  • 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.

What You Should Know About Academic Collaboration, Pluralis Research

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.

Frequently Asked Questions (FAQs) for Academic Collaboration Role at Pluralis Research
What does the Academic Collaboration role at Pluralis Research involve?

The Academic Collaboration opportunity at Pluralis Research involves partnering with us to engage in joint publications, research exchanges, and innovative experiments in decentralized AI. Researchers will have the chance to leverage our unique infrastructure and contribute to advancing the field of Protocol Learning.

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What qualifications do I need for the Academic Collaboration position at Pluralis Research?

Applicants for the Academic Collaboration role at Pluralis Research should be active researchers, including faculty, postdocs, or PhD candidates, with a solid background in areas such as distributed machine learning, model parallelism, or federated learning. A proven publication track record in peer-reviewed venues is also essential.

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How can I apply for the Academic Collaboration opportunities at Pluralis Research?

To apply for the Academic Collaboration opportunities at Pluralis Research, complete the brief application form that details your research interests and relevant experiences. Include links to your publications or ongoing work, and our research team will review your submission and reach out to discuss potential collaborations.

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What are the benefits of collaborating with Pluralis Research as an academic?

Collaborating with Pluralis Research as an academic offers numerous benefits, including the opportunity to co-author papers, access unique infrastructure for experimentation, interdisciplinary connections, potential funding for projects, and the option for PhD sponsorship for outstanding students. It's a chance to be at the forefront of decentralized AI research!

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What is Protocol Learning and why is it important at Pluralis Research?

Protocol Learning is an innovative approach pioneered by Pluralis Research that enables decentralized training and deployment of AI models. It is essential because it democratizes access to AI capabilities, ensuring that no single entity dominates the development and release of AI technologies, fostering a more inclusive future in machine learning.

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Common Interview Questions for Academic Collaboration
Can you explain your research focus and how it aligns with decentralized AI?

When answering this question, highlight specific areas of your research that intersect with decentralized AI. Discuss any relevant projects, publications, or findings that illustrate your expertise and enthusiasm for this field.

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What interdisciplinary connections do you see in your work related to Protocol Learning?

To effectively answer this, consider how your work interacts with fields such as distributed systems, economics, or protocol design. Share examples of how collaboration across disciplines can enhance the impact of your research and the mission of Pluralis Research.

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How do you handle collaboration challenges in research projects?

Discuss your approach to conflict resolution and communication when challenges arise in collaborative projects. Share examples from your experience where you successfully navigated obstacles and how those experiences would be valuable in a collaborative environment at Pluralis Research.

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What is your experience with publication in peer-reviewed venues?

Outline your publication history, including key papers and the venues where your work has been accepted. This response should emphasize your commitment to disseminating research findings and how that aligns with the expectations of the Academic Collaboration role at Pluralis Research.

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What innovative ideas would you bring to the table for joint publications?

Be prepared to present specific topics or frameworks for potential joint publications. Discuss the latest trends in your research area and how they could synergize with Pluralis Research to produce impactful publications.

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Can you describe your experience with distributed machine learning or federated learning?

Discuss your technical expertise and any pertinent projects you've undertaken in distributed or federated learning. Highlight methodologies and outcomes that demonstrate your skills and knowledge relevant to the role at Pluralis Research.

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Why do you believe democratizing access to AI capabilities is important?

Share your perspective on the ethical implications of AI and the necessity for equitable access to these technologies. Emphasize your alignment with the mission of Pluralis Research and how your research contributes to that vision.

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How do you prioritize research tasks and manage deadlines?

Discuss your time management strategies, particularly in the context of collaborative projects. Highlight tools and methods you utilize to ensure timely progress and how you could effectively contribute to a team like Pluralis Research.

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What unique contributions do you think you can make at Pluralis Research?

Reflect on both your technical skills and soft skills that could benefit the team at Pluralis Research. Be specific about how your unique background, experiences, and passion for AI could add value to the collaborative environment.

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How do you envision the future of decentralized AI, and your role in it?

Share your insights and predictions about the future trajectory of decentralized AI. Discuss how you see your contributions at Pluralis Research playing a role in shaping this future and advancing the state of the art in the field.

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TEAM SIZE
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HQ LOCATION
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EMPLOYMENT TYPE
Other, remote
DATE POSTED
March 19, 2025

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