RL Infrastructure Engineer: Scale End-to-End ML
Lever HQ
Institute of Foundation Models is seeking an RL infrastructure engineer to scale end-to-end RL training systems and extend distributed training frameworks across multi-node, multi-GPU clusters. You will work alongside researchers and engineers to integrate rollout generation, reward computation, and policy updates, while improving reliability, maintainability, and performance of the training stack.
#J-18808-LjbffrVacancy posted 20 hours ago
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