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.

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 offers an opportunity to author foundational papers in an emerging field with access to significant compute, and focused mentorship from senior scientists.

Key Responsibilities

• 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: Specialization in distributed machine learning, model parallelism, or related fields.

• Technical Depth: Strong theoretical understanding of deep learning and distributed systems principles.

• Implementation Skills: Proficiency in PyTorch and experience with large-scale training infrastructure.

• Academic Writing: Demonstrated ability to communicate complex technical concepts clearly in academic writing.

Compensation & Benefits

• Competitive Research Stipend: Appropriately compensated fixed-term collaboration.

• Publication Support: Resources and mentorship to maximize publication potential.

• Research Resources: Access to computing infrastructure and proprietary research findings.

• Academic Integration: Structured to complement your PhD research with potential for ongoing collaboration.

• Remote or Hybrid: Flexibility to work remotely or from one of our hubs in New York or Melbourne.

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 apply.