
Artificial Intelligence • Web 3
Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.
October 23

Artificial Intelligence • Web 3
Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.
• Lead the development of frontend systems for interactive visualisation and control of distributed training environments. • Collaborate with researchers, designers, and engineers to translate technical workflows into user-centred experiences. • Build, test, and maintain high-performance frontend applications using modern frameworks. • Work with the Creative Lead to ensure cohesive design and implementation across UI systems. • Develop data visualisation layers for large-scale training metrics, model graphs, and cluster states. • Establish standards for frontend architecture, performance, and design-system integration. • Contribute to product design discussions, UX prototyping, and interface refinement.
• Strong experience building complex, data-heavy web applications. • Deep understanding of modern frontend frameworks (React, TypeScript, or equivalent). • Proven ability to design and implement data visualisation or real-time monitoring tools. • Strong collaboration skills across design, research, and backend teams. • Familiarity with UX principles and accessibility standards. • Experience leading or owning large-scale frontend projects end-to-end.
• Health insurance • Remote work arrangements
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