Pluralis Research
Research Scientist Intern
San Francisco, Remote. Posted 2 months ago
The role
You will conduct novel research in Protocol Learning to publish in tier-1 ML conferences. You will work on problems that stay open as the company pushes toward frontier scale.
What you will do
- Conduct novel research in Protocol Learning with the explicit goal of publishing in tier-1 ML conferences (NeurIPS, ICML, ICLR).
- Pick a question that blocks Protocol Learning at scale and answer it.
Required qualifications
- Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR).
- Work in a core technical area relevant to frontier models.
- Strong theoretical understanding of deep learning and distributed systems principles.
- Proficiency in PyTorch.
- Experience with large-scale training infrastructure.
- Believe Protocol Learning is the viable third path for collective, trustless, and sovereign AI.
- Professional-level English proficiency (written and spoken).
- Comfortable working across timezones.
About the company
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. They are a world-class, deeply technical team of ML researchers backed by Union Square Ventures and other tier-1 investors.