Remote RL Post-Training Scientist Decentralized AI

Pluralis Research is seeking an experienced engineer to own RL post-training for large language models in a decentralized setting. You will architect end-to-end pipelines from rollout ingestion to weight updates, tackling asynchronous, high-latency environments across globally distributed GPUs.

The role emphasizes production-grade Python/PyTorch engineering, research-oriented problem solving, and delivering the first decentralized post-trained models with robust evaluation.

Are you ready to take on the Remote RL Post-Training Scientist for Decentralized AI role at Pluralis Research?

This opportunity is part of our work in IT & Technology, Other.

The advertised compensation is 150..

This role offers the option to work remotely.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Remote RL Post-Training Scientist for Decentralized AI role in the description above.