[Hiring] Research Scientist @Pluralis Research

Role Description

As a Research Scientist, you will work on the problems that stay open as we push from the 8B run toward frontier scale, and you will publish what you find. These are foundational papers up for grabs.

• Key Responsibilities
• Solve the open problems: Identify the questions that block Protocol Learning at scale, including communication efficiency, convergence under churn and staleness, heterogeneity, and robustness to malicious participants.
• Publish in Tier-1 venues: The problems are hard and largely unclaimed. Solve them, and publish.
• Get the methods into runs: Work with the engineering team so your results land in live training runs, not just papers.

Qualifications

• Research excellence (required): PhD in machine learning with publications in top-tier conferences (NeurIPS, ICML, ICLR).
• Distributed ML experience: Hands-on experience 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.

Requirements

• Nice to Have:
• Experience with foundation model pre-training, post-training, or RL.
• Experience at proprietary, open-weight, and open-source AI labs.

Benefits

• Equity-Heavy Package: We offer significant ownership for key technical contributors in addition to a high base salary.
• Remote-First Culture: Flexible work environment with team members distributed globally.
• Visa Sponsorship: Optional full visa sponsorship and relocation support to either Australia or the US.

FYI's

• 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.