Pluralis Research
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.
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
Distributed Systems Engineer
October 23
Pluralis Research
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.
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
📋 Description
• High-Performance Networking: Optimise P2P connections, minimise latency, and ensure that data flows efficiently under real-world bandwidth constraints. • Scalability & Reliability: Design for fault tolerance in a multi-participant training environment. Build robust mechanisms to handle node failures and network disruptions without interrupting end-to-end learning. • Collaboration: Work closely with the AI team to merge cutting-edge research with large-scale distributed systems. Contribute to shared libraries, frameworks, and open-source projects. • Security & Privacy: Implement best practices for encryption, authentication, and node identity. Protect model shards to guarantee that no single party can fully reconstruct the model’s weights. • Continuous Improvement: Profile system bottlenecks, propose and implement performance optimisations, and keep our technology stack ahead of emerging standards in decentralised computing.
🎯 Requirements
• Distributed Systems Mastery: Deep experience building and operating high-throughput, fault-tolerant systems at scale. • Network & Protocol Expertise: Solid understanding of peer-to-peer topologies, routing, and messaging frameworks. • Hands-on Engineering: Comfortable with the full software lifecycle—architecture, coding, testing, deployment, and maintenance. • Open-Source Enthusiasm: Passion for collaborative development and an interest in reshaping AI infrastructure for global accessibility. • Bonus: Familiarity with crypto/blockchain frameworks, decentralised consensus algorithms, or large-scale ML pipelines.
🏖️ Benefits
• Equity-Heavy Package: We offer meaningful ownership or token allocations for key technical contributors. • Competitive Base: Pluralis is hiring the best. • Visa Sponsorship: Optional full visa sponsorship and relocation support to either US or Australia. • Remote-First Culture: Flexible work environment with team members distributed globally. • Cutting-Edge Domain: Work at the intersection of AI and decentralised systems.
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