Protocol Learning Research Scientist — Remote & Equity

Pluralis Research; California; Remote; USD 180,000 - 300,000; Full time

Benefits offered by this job

Equity-heavy package

Remote-first culture

Visa sponsorship

Job summary

Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet.

Despite being dismissed as infeasible, we have made significant advances on this problem, most recently Agora, a permissionless run that pretrained an 8B model from scratch on consumer GPUs spread over the internet, with no single participant ever holding the full weights (tech report).

Qualifications

• Research excellence required: PhD in machine learning with publications in top-tier conferences (NeurIPS, ICML, ICLR).
• Distributed ML experience: Hands-on in large-scale distributed training and compression strategies.
• Implementation skills: Strong programming ability in PyTorch.
• Mission alignment: You believe Protocol Learning is the viable third path for collective, trustless, and sovereign AI.

Responsibilities

• Solve open problems: identify questions blocking Protocol Learning at scale, focusing on communication efficiency, churn, staleness, heterogeneity, robustness.
• Publish in Tier-1 venues: publish results in top conferences.
• Get methods into runs: work with engineering to deploy results in live training runs.

Skills

PhD ML

Distributed ML

PyTorch

Top venues pubs

Education

PhD in ML

Tools

PyTorch

Job description

Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet.

Despite being dismissed as infeasible, we have made significant advances on this problem, most recently Agora, a permissionless run that pretrained an 8B model from scratch on consumer GPUs spread over the internet, with no single participant ever holding the full weights (tech report).