
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.
🕒 June 1
BizOps Associate managing projects across operations and go-to-market strategy at Pluralis Research. Engaging with the exec team to fix operational challenges and drive growth initiatives.
🕒 April 1
ML Training Platform Engineer creating infrastructure for decentralized ML training. Focused on multi-cloud orchestration and fault-tolerant systems.
AWS
Azure
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Terraform
🕒 April 1
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.
Distributed Systems
GRPC
Python
🕒 February 23
ML Training Platform Engineer creating decentralized ML training platform infrastructure. Working on multi-cloud deployments and fault-tolerant distributed systems.
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
🕒 December 15, 2025
Research Scientist specializing in AI and distributed systems. Addressing challenging research problems in machine learning and protocol learning across global teams.
🕒 December 15, 2025
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.