Research Scientist
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Key skills for this role
Key Skills for This Role
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Key Responsibilities
- Solve the open problems : Identify the questions that block Protocol Learning at scale. communication efficiency, convergence under churn and staleness, heterogeneity, 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.
What We're Looking For
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.
Nice to Have
Experience with foundation model pre-training, post-training, or RL.
Experience at proprietary, open-weight and open-source AI labs
Compensation & 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.
- Open Problems : Training and serving frontier models on hardware you don't control, over networks you don't own, mostly has no published answers yet. You'll write some of the first ones.
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.
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 view AI and the world on a better path for everyone if we are able to implement the protocol for intelligence.
About Pluralis Research
AI research lab developing collectively owned foundation models through decentralized collaborative training across many participants.
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