Research Scientist Intern

Job not on LinkedIn

🔥 7 hours ago

🌐 United States, Australia – Remote

🇺🇸 United States – Remote 🇦🇺 Australia – Remote

👨‍🎓 Internship

⚪️ Entry-level

🧬 Research Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pluralis Research

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

🌐 Web 3

Artificial Intelligence • Web 3

Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.

📋 Description

• Conduct novel research in Protocol Learning • Publish research in tier-1 ML conferences including NeurIPS, ICML, and ICLR • Select and solve a problem that blocks Protocol Learning at scale • Work on open problems involved in scaling from the 8B run toward frontier scale • Participate in a 6-month research internship during a PhD • Collaborate remotely across timezones with teams in Australia and North America • Work with significant compute and receive focused mentorship from senior scientists

🎯 Requirements

• Current PhD candidate • At least one publication in top-tier ML venues (NeurIPS, ICML, ICLR) • Research work in a core technical area relevant to frontier models • Strong theoretical understanding of deep learning and distributed systems principles • Proficiency in PyTorch • Experience with large-scale training infrastructure • Belief that Protocol Learning is the viable third path for collective, trustless, and sovereign AI • Professional-level English proficiency, written and spoken • Must be able to work remotely across timezones • Hiring limited to Australia and the US; visa sponsorship is limited to these countries

🏖️ Benefits

• 6-month fixed-term research internship • Access to significant compute • Focused mentorship from senior scientists • Visa sponsorship and relocation support for exceptional candidates in the US and Australia