Research Scientist Intern

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. If you want your work to shape the future of truly open innovation in artificial intelligence, join us.

Key Responsibilities

• Contribute to groundbreaking research in Protocol Learning during your PhD. Join Pluralis for a 6-month research internship focused on publishing.
• This fixed-term position offering an opportunity to author foundational papers in an emerging field with access to significant compute and focused mentorship from senior scientists.
• Publication-Oriented Research: Conduct novel research within the domain of Protocol Learning, with the explicit goal of publishing in tier-1 ML conferences (NeurIPS, ICML, ICLR).
  
  

What We're Looking For

• Publication Track Record: Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR, etc.).
• Research Focus: Are working in a core technical area relevant to frontier models.
• Technical Depth: Strong theoretical understanding of deep learning and distributed systems principles.
• Implementation Skills: Proficiency in PyTorch and experience with large-scale training infrastructure.