Pluralis Research
Pluralis Research is seeking an experienced engineer to design, build, and scale a multi‑cloud, decentralized platform for training and serving large AI models on consumer‑grade devices. The role focuses on infrastructure orchestration, distributed compute, and networking systems to enable continuous experimentation across heterogeneous nodes.
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.
Pluralis Research didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
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