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    Research Scientist Intern

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    Pluralis Research

    Pluralis enables anyone to train and own frontier AI models

    2-10 employeesUnited StatesTechnology, Information and Internet
    Posted 253 days agoActively hiringRemote-friendlyVisa sponsorshiprollingTechnology, Information and Internet
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    About the role#

    Pluralis Research is seeking a Research Scientist Intern for a 6-month position focused on Protocol Learning. This role is designed for PhD candidates who want to conduct novel research with the goal of publishing in tier-1 machine learning conferences, such as NeurIPS, ICML, and ICLR. You will work with senior scientists and have access to significant compute resources to support your research.

    What you'll do#

    • Contribute to research in Protocol Learning.
    • Author foundational papers in an emerging field.
    • Collaborate with a distributed team to advance open, decentralized AI training and deployment.

    What you'll need#

    • Current enrollment as a PhD candidate in Computer Science, Computer Engineering, Data Science, Mathematics, or Statistics.
    • At least one publication in a top-tier ML venue (NeurIPS, ICML, ICLR, etc.).
    • Research experience in a core technical area relevant to frontier models.
    • Strong theoretical understanding of deep learning and distributed systems principles.
    • Proficiency in PyTorch and experience with large-scale training infrastructure.
    • Professional-level English proficiency in both written and spoken forms.

    Location & details#

    • This is a full-time, remote position.
    • Hiring is limited to candidates based in Australia or the United States.
    • Visa sponsorship is available for these countries.
    • The internship term is rolling.
    Relevant fieldsComputer ScienceComputer EngineeringData ScienceMathematicsStatistics

    About Pluralis Research

    Pluralis Research works on a protocol for the collaborative training and ownership of foundation models. It operates within the technology and internet sector. The company maintains a staff of 20 employees. It is a privately held organization.

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