Pluralis Research
A Research Scientist at Pluralis Research focuses on advancing Protocol Learning, which involves training large models in a decentralized manner on consumer-grade devices. The role requires publishing foundational research in top-tier venues, leveraging experience in distributed machine learning, and implementing training solutions using PyTorch. Candidates should possess a PhD in Machine Learning, with relevant publications and skills in model training across multiple devices, ideally having experience with large language models and reinforcement learning.
Company Size
1-10 employees
Pluralis Research is at the forefront of innovative machine learning techniques, specializing in Protocol Learning, which focuses on decentralized, communication-efficient model-parallel training for foundation models. Their research facilitates the multi-participant training of models, enabling collaborative efforts without any single participant ever possessing the complete model—promoting community ownership and sustainable economies. They strive to create cutting-edge, self-sustaining models that push the boundaries of traditional AI development. With a commitment to open-source collaboration, Pluralis Research is shaping the future of AI technologies.
Exclusive: Pluralis raises $7.6 million from prominent investors to take on OpenAI with big decentralized models
Mar 19, 2025
Pluralis Research Pioneers Protocol Learning to Scale Decentralized AI, Announces $7.6M Seed Round Led by USV and CoinFund
Mar 19, 2025
Australian startups join AWS AI accelerator, gaining USD $1m in credits
Oct 8, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Pluralis Research.
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