Pluralis Research
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
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.
Machine Learning Engineer – ML Training Platform
🕒 February 23
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Pluralis Research
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
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.
📋 Description
• Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure. • Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of heterogeneous nodes. • Architect fault-tolerant infrastructure for distributed ML. • Build systems that simulate and handle real-world network conditions.
🎯 Requirements
• 5+ years of work experience with deep experience in: • Infrastructure & Platform Engineering • Distributed Systems & ML Infrastructure • Systems Programming & Reliability • Experience in a startup environment with an emphasis on micro-services orchestration or big tech background • Deep understanding of multi-cloud infra & distributed training systems • A team player with high attention to detail • A strong passion to join
🏖️ Benefits
• Flexible work arrangements
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