Pluralis Research
This role focuses on developing efficient algorithms and systems to verify the integrity of work performed by decentralized, untrusted GPU workers in a permissionless network. The engineer will own the threat model, design statistical verification methods with controlled error rates, and ship the verification service for both inference and training. The position requires deep expertise in statistics, probability, and untrusted compute verification to ensure the reliability of a fully decentralized AI training and inference system.
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.
AWS taps two Australian startups for its 2025 Generative AI Accelerator
Oct 7, 2025
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