Pluralis Research is seeking an engineer to advance RL post-training for large language models in a decentralized setting. You will develop the end-to-end post-training stack, handle asynchronous training loops, and contribute to evaluating released models across a global, remote-first team.
The role emphasizes Python and PyTorch proficiency, distributed systems thinking, and a research-oriented mindset, with participation in cutting-edge protocols learning initiatives.
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📌 Remote RL Post-Training Research Engineer (Queensland)
🏢 Pluralis Research
📍 Queensland
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