Research Scientist Intern
Publish foundational papers through a six-month internship focused on Protocol Learning.
- Full Time
Pluralis Research
8 open rolesLast updated April 28, 2026 at 3:04 AM UTC
Pluralis conducts foundational research on Protocol Learning, a multi-participant approach to training foundation models without exposing a full model to any single participant. The aim is to enable community-trained, community-owned frontier models with self-sustaining economics.
Hiring overview
See where Pluralis Research is hiring most heavily right now, which role groups stand out, and which openings were added most recently.
Open roles
8
Live openings on Kibo
Top role group
Engineering
4 matching jobs
Coverage
3 groups
Fresh hiring snapshot for Pluralis Research
Popular role groups
The strongest hiring clusters right now, based on the company's current live openings.
Engineering4
Data3
Other1
Engineering
4 open roles in this group.
- View role
Machine Learning Engineer - ML Training Platform
Remote • Melbourne VIC, Australia
- View role
Machine Learning Engineer - Distributed ML Systems
Remote
- View role
Developer Relations Lead
Remote • United States, Australia/Oceania
- View role
Developer Relations Lead
Remote • United States, Australia/Oceania
Recent openings
A preview of the latest roles we have indexed. Use the jobs tab for the full live inventory.
Machine Learning Engineer - ML Training Platform
Architect and scale infrastructure powering a decentralized ML training platform with multi-cloud orchestration and distributed systems.
Remote • Melbourne VIC, Australia- Full Time
- Min. 5 YOE
Research Scientist
Research excellence in ML with distributed training; published in top venues; strong PyTorch skills across devices.
- Full Time
Academic Collaboration
Collaborative research invitation focusing on decentralized AI, joint publications, and interdisciplinary exploration.
- Remote
- Full Time
Machine Learning Engineer - Distributed ML Systems
Senior engineers with 5+ years in distributed systems and ML training design and optimize large-scale distributed training under low-bandwidth, high-latency conditions.
- Remote
- Full Time
- Min. 5 YOE