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Academic Collaboration Opportunities in Decentralized AI

On-site Full-time

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Experience Level

Experience

Qualifications

We are seeking active researchers, including current faculty, postdoctoral researchers, or PhD candidates with a strong publication record in machine learning and related fields. Candidates should have expertise in areas such as distributed machine learning, model parallelism, or federated learning. A collaborative mindset and alignment with our mission to democratize AI technology are essential.

About the job

Pluralis Research is at the forefront of Protocol Learning, innovating a fully decentralized approach to training and deploying AI models. Our mission is to democratize AI, enabling individuals to participate in the development of cutting-edge technologies rather than limiting accessibility to corporate giants. By aggregating computational resources from various contributors and incentivizing participation while ensuring that no single entity controls the model's complete weights, we are forging a truly open and collaborative pathway to advanced AI capabilities.

Invitation for Academic Collaboration

Partnering with Researchers at the Cutting Edge of Decentralized AI. Pluralis is eager to engage with academic researchers to propel the field of Protocol Learning forward. This is not merely a job vacancy but an invitation for seasoned researchers to discuss potential joint publications and collaborative research projects centered around low-bandwidth model-parallel training and decentralized AI systems.

Collaboration Opportunities

  • Joint Publications: Collaborate on research papers aimed at top-tier ML conferences and journals.

  • Research Exchanges: Exchange insights and findings in complementary research areas.

  • Access to Unique Infrastructure: Utilize our distributed training environment for innovative experimental work.

  • Interdisciplinary Connections: Connect ML research with disciplines such as distributed systems, economics, and protocol design.

  • Funding Potential: Opportunities for research grants may be available for promising collaborative projects.

  • PhD Sponsorship: We welcome sponsorship for exceptional PhD candidates.

Desired Qualifications

  • Active Researchers: Current faculty, postdoctoral researchers, or PhD candidates with active publications in relevant fields.

  • Relevant Expertise: Background in distributed machine learning, model parallelism, federated learning, or related domains.

  • Publication Record: Proven history of publishing in peer-reviewed venues.

  • Collaborative Attitude: A genuine interest in the open exchange of ideas and collaborative problem-solving.

  • Mission Alignment: Passion for democratizing access to advanced AI technologies.

How to Apply

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About Pluralis Research

Pluralis Research is dedicated to advancing decentralized AI through innovative Protocol Learning. We prioritize collaboration and open access to AI capabilities, enabling researchers and individuals alike to contribute to and benefit from cutting-edge developments in artificial intelligence.

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