Pluralis Research
via Ashby
Academic Collaboration
Posted 545 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 3 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 545d ago
The date the source published, not the day we noticed it (2025-03-18). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Sydney, San Francisco
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 17d ago · last seen 3h ago
The listing
Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely open, collaborative path to frontier-scale AI.
Academic CollaborationResearch partnerships at the frontier of decentralized AI. Pluralis actively collaborates with academic researchers to advance the state of Protocol Learning. This is not a job posting, but an invitation for established researchers to explore joint publications and research initiatives focused on low-bandwidth model-parallel training and decentralized AI systems.
Collaboration OpportunitiesJoint Publications: Co-author papers targeting top ML conferences and journals.
Research Exchanges: Share insights and findings in areas of mutual interest.
Access to Unique Infrastructure: Leverage our distributed training environment for novel experiments.
Interdisciplinary Connections: Bridge ML research with distributed systems, economics, and protocol design.
Potential for Funding: Research grants may be available for promising collaborative projects.
PhD Sponsorship: We are open to sponsoring PhD's for exceptional students.
Active Researchers: Current faculty, postdocs, or PhD candidates actively publishing in relevant fields.
Relevant Expertise: Background in distributed ML, model parallelism, federated learning, or related areas.
Publication Track Record: Demonstrated ability to publish in peer-reviewed venues.
Collaborative Mindset: Interest in open exchange of ideas and joint problem-solving.
Alignment with Mission: Enthusiasm for democratizing access to frontier AI capabilities.
Complete this brief form describing your research interests and relevant experience
Include links to representative publications or ongoing work
Our research team will review submissions and reach out to discuss potential collaborations
No formal commitment is required to apply—this is simply an invitation to begin a conversation
Backed by Union Square Ventures and other tier-1 investors, we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please get in touch.