
1 - 10 employees
🤖 Artificial Intelligence
🌐 Web 3
Artificial Intelligence • Web 3
Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.
🕒 August 7
Events & Operations Associate owning Pluralis Research’s conferences, offsites, and hosted events. Building repeatable systems and supporting operations for a decentralized AI research company.
🌐 United States, Australia – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🎪 Events
🚫👨🎓 No degree required
👻 Ghost score 25%
🕒 April 1
Likely ghost job
ML Training Platform Engineer creating infrastructure for decentralized ML training. Focused on multi-cloud orchestration and fault-tolerant systems.
🌐 United States, Australia – Remote
🏄 California – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 76%
🕒 April 1
Likely ghost job
Machine Learning Engineer implementing distributed training systems and optimizing performance at Pluralis Research. Seeking engineers with experience in distributed systems and large-scale ML training.
🕒 December 15, 2025
Likely ghost job
Research Scientist Intern contributing to groundbreaking Protocol Learning research at Pluralis. Join a remote team publishing in tier-1 ML conferences with mentorship from senior scientists.
🌐 Australia, United States – Remote
👨🎓 Internship
⚪️ Entry-level
🧬 Research Scientist
👻 Ghost score 76%
🕒 December 15, 2025
Likely ghost job
Research Scientist specializing in AI and distributed systems. Addressing challenging research problems in machine learning and protocol learning across global teams.
🌐 Australia, United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
👻 Ghost score 76%