[Hiring] Research Scientist Intern @Pluralis Research

Role Description

As a Research Scientist Intern, you will join us for a 6-month, fixed-term research internship during your PhD, focused on publishing. You will work on the problems that stay open as we push from the 8B run toward frontier scale, with access to significant compute and focused mentorship from senior scientists. These are foundational papers up for grabs.

• Publish in Tier-1 venues: Conduct novel research in Protocol Learning with the explicit goal of publishing in tier-1 ML conferences (NeurIPS, ICML, ICLR).
• Own a real problem: Pick a question that blocks Protocol Learning at scale and answer it — the internship is scoped so a foundational paper is a realistic outcome, not a stretch goal.

Qualifications

• Publication track record (required): Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR).
• Research focus: You work 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.
• Mission alignment: You believe Protocol Learning is the viable third path for collective, trustless, and sovereign AI.

Requirements

• This is a 6-month, fixed-term research internship.
• We only hire in Australia and the US, and visa sponsorship is limited to these countries.
• We work remotely across the world, with the main teams in Australia and North America. You'll need to be comfortable working across timezones.
• Applicants must have professional-level English proficiency (written and spoken).
• Recruiters: we aren't looking for agency support at this time. We'll reach out if we need help.

Benefits

• Access to significant compute resources.
• Focused mentorship from senior scientists.

Company 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. We are backed by Union Square Ventures and other tier-1 investors, and we are a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We believe AI, and the world, end up on a better path if we succeed in implementing the protocol for intelligence.