Remote RL Post-Training Engineer — Decentralized AI

Pluralis Research

Remote job

Pluralis Research is seeking an engineer to advance Protocol Learning by building and refining the RL post-training stack. You will handle rollout ingestion, reward computation, and weight synchronization across a geo-distributed setup. The role emphasizes production-grade Python and PyTorch, with an expectation of publishing results or defending ongoing work. A remote-first team collaborates across time zones and international locations. #J-18808-Ljbffr Pluralis Research

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Vacancy posted 1 day ago

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