Research Scientist Intern

Pluralis Research
United States, Australia
Workplace: RemoteInternshipFunction: Data Science & Machine LearningSkills: ["Research","Theoretical reasoning","Mission alignment","Communication"]

Work on Protocol Learning’s frontier problems by conducting publishable research during a 6-month, fixed-term internship alongside senior scientists. You’ll identify and answer a core research question blocking protocol learning at scale, with the explicit goal of producing a foundational paper for Tier-1 ML venues. The role emphasizes strong theoretical grounding in deep learning and distributed systems, plus hands-on experience with PyTorch and large-scale training infrastructure.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Pluralis Research
Pluralis Research
4 days ago

Research Scientist Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Work on Protocol Learning’s frontier problems by conducting publishable research during a 6-month, fixed-term internship alongside senior scientists. You’ll identify and answer a core research question blocking protocol learning at scale, with the explicit goal of producing a foundational paper for Tier-1 ML venues. The role emphasizes strong theoretical grounding in deep learning and distributed systems, plus hands-on experience with PyTorch and large-scale training infrastructure.
Location: United States, Australia
Workplace: Remote
Employment Type: Internship · 6 months
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Conduct novel Protocol Learning research with the explicit goal of publishing in Tier-1 ML conferences (NeurIPS, ICML, ICLR).
  • •Pick and own a real problem that blocks Protocol Learning at scale and drive it to a publishable answer.
  • •Work on foundational research challenges as the project scales from an 8B run toward frontier scale.
  • •Collaborate with senior scientists through focused mentorship.
  • •Apply distributed-systems and deep-learning principles in practical research experiments.

Key Requirements

  • •Current PhD candidate with at least one publication in top-tier ML venues (NeurIPS, ICML, ICLR).
  • •Strong theoretical understanding of deep learning and distributed systems principles.
  • •Proficiency in PyTorch and experience with large-scale training infrastructure.
  • •Research focus on core technical areas relevant to frontier models.
  • •Professional-level English proficiency (written and spoken).
Skills:ResearchTheoretical reasoningMission alignmentCommunication
Languages:English
Tech Stack:PyTorchDeep learningDistributed systems

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
WebsiteLinkedIn