
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.
Selected: 🇺🇸 United States – Remote USA.
Selected: 🆕 Date Added.
🕒 September 1
Research Scientist Intern advancing Pluralis’s decentralized large-model training research. Publishing foundational Protocol Learning papers toward frontier-scale models.
🕒 September 1
Machine Learning Engineer building Pluralis's decentralized platform for training and serving large models on consumer devices. Orchestrating multi-cloud infrastructure and fault-tolerant distributed ML systems.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 34%
🕒 August 31
Research Scientist solving distributed machine-learning problems for Pluralis's decentralized large-model training platform. Publishing foundational research and integrating methods into frontier-scale runs.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
👻 Ghost score 34%
🕒 August 31
Research Engineer building decentralized pretraining systems for Pluralis Research’s frontier-scale AI models. Optimizing distributed training, fault tolerance, and monitoring across heterogeneous consumer hardware.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
👻 Ghost score 34%
🕒 August 31
Research Engineer building RL algorithms and systems for Pluralis's decentralized large-model training platform. Shipping post-trained models across consumer GPUs and Macs over the public internet.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
👻 Ghost score 34%
🕒 August 31
Research Engineer building reliable geo-distributed inference systems for Pluralis’s decentralized AI models. Developing algorithms for consumer hardware and public-internet serving.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
👻 Ghost score 34%
🕒 August 31
Research Engineer designing statistical and systems verification for Pluralis Research’s decentralized large-model training and inference. Defending trustless networks against compute fraud, poisoning, and reward manipulation.
🌐 United States, Australia – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
👻 Ghost score 34%