Research Scientist

Pluralis Research
United States, Australia
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Publishing","Mission alignment","Problem-solving"]

Work on foundational open problems in Protocol Learning for decentralized training and serving of large models. Solve hard challenges in communication efficiency, convergence under churn and staleness, heterogeneity, and robustness to malicious participants. Publish in top-tier ML venues and collaborate with engineering so your methods translate into live training runs. Advance from recent 8B protocol runs toward frontier scale.

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Pluralis Research
Pluralis Research
5 days ago

Research Scientist

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Last checked: 10 hours agoStatus: Live

Job Summary

Work on foundational open problems in Protocol Learning for decentralized training and serving of large models. Solve hard challenges in communication efficiency, convergence under churn and staleness, heterogeneity, and robustness to malicious participants. Publish in top-tier ML venues and collaborate with engineering so your methods translate into live training runs. Advance from recent 8B protocol runs toward frontier scale.
Location: United States, Australia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Identify the open questions blocking Protocol Learning at scale, including communication efficiency, convergence under churn/staleness, heterogeneity, and robustness to malicious participants.
  • •Solve research problems and publish results in tier-1 venues.
  • •Collaborate with engineering so methods translate into live training runs, not only papers.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityRemote WorkVisa SponsorshipRelocation Support

Key Requirements

  • •PhD in machine learning with publications in top-tier conferences (NeurIPS, ICML, ICLR).
  • •Hands-on experience in large-scale distributed training and compression strategies.
  • •Strong programming ability in PyTorch.
  • •Ability to publish in tier-1 venues by solving hard, largely unclaimed problems.
  • •Belief that Protocol Learning is the viable third path for collective, trustless, sovereign AI.
Experience:Distributed trainingFoundation modelsOpen-weight AIOpen-source AI
Education:PhD / Doctorate in Machine learning
Skills:PublishingMission alignmentProblem-solving
Languages:English
Tech Stack:PyTorch

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Pluralis Research
Develops Protocol Learning for decentralized, multi‑participant training of foundation models so models remain unmaterialized and community‑owned, enabling open-source large‑scale AI without single‑party control.
Industry: AI & Machine Learning
Company Size: Micro (1 to 10 employees)
Growth: Early Stage Startup
Funding: Seed
Founded: 2024
Glassdoor
Glassdoor: 4.0
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