Pluralis Research is seeking a seasoned RL post-training engineer to build the end-to-end post-training stack, from rollout ingestion to policy updates and weight synchronization across a geo-distributed network. You’ll shape algorithms and systems to make decentralized, asynchronous post-training work at scale.
We value hands-on RL post-training, strong Python/PyTorch engineering, and a research mindset. This is a remote-first role with global collaboration across time zones.
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Remote RL Post-Training Engineer for Decentralized AI in Melbourne employer: Pluralis Research
At Pluralis Research, we pride ourselves on being a remote-first AI startup that fosters a dynamic and innovative work culture. Our Operations Associate role not only provides the opportunity to collaborate closely with our leadership team but also encourages personal and professional growth through exposure to diverse operational projects. With a commitment to leveraging cutting-edge AI tools, we empower our employees to streamline workflows and contribute meaningfully to our mission of building a decentralised AI ecosystem.
