Distributed Systems Engineer

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Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well‑resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier‑scale AI. If you want your work to shape the future of truly open innovation in artificial intelligence, join us.

Key Responsibilities

• 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 i...