Pluralis Research is pioneering Protocol Learning and invites exceptional ML researchers to join the RL post-training effort. You will architect end-to-end post-training stacks, from rollout ingestion to weight synchronization, and drive the first decentralized post-trained releases.
You will work on asynchronous, high-latency systems, develop algorithms, and contribute to publication-worthy research while aligning with the mission of Protocol Learning and distributed AI.
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📌 Remote RL Post-Training Engineer for Decentralized AI (Coffs Harbour City Council)
🏢 Pluralis Research
📍 Coffs Harbour City Council
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