Pluralis Research seeks a Research Engineer to scale Protocol Learning training systems across diverse hardware and globally distributed networks. You will optimize model-parallel training, implement effective data and tensor parallelism, and ensure robustness as devices join or leave the run.
The role emphasizes hands-on distributed training, robust software engineering, and a track record of delivering research code or open-source projects. Remote-first culture and visa sponsorship may apply.
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📌 Distributed Ml Systems Engineer: Protocol Learning Frontier Canberra
🏢 Pluralis Research
📍 Canberra
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