Research Engineer Intern

Pluralis Research
Australia
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: []

Build and ship well-scoped internship projects on a production decentralized training system (Agora). Work on multiprocessing, async I/O, and threading components inside a distributed training stack, contribute daily to the production codebase, and collaborate with engineers and researchers running multi-node training. You’ll also gain hands-on experience with large-scale training infrastructure across AWS and GCP.

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Pluralis Research
Pluralis Research
4 days ago

Research Engineer Intern

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Last checked: 12 hours agoStatus: Live

Job Summary

Build and ship well-scoped internship projects on a production decentralized training system (Agora). Work on multiprocessing, async I/O, and threading components inside a distributed training stack, contribute daily to the production codebase, and collaborate with engineers and researchers running multi-node training. You’ll also gain hands-on experience with large-scale training infrastructure across AWS and GCP.
Location: Australia
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design, build, and ship a well-scoped roadmap project on Agora, culminating in a final presentation to engineering and research teams.
  • •Build and improve multiprocessing, async I/O, and threading components in a production distributed training stack.
  • •Work hands-on with large-scale training infrastructure across cloud providers (AWS/GCP).
  • •Contribute to the production codebase every day with code review and mentorship from a buddy on the Agora team.

Key Requirements

  • •Current enrollment in, or recent completion of, a Masters or PhD in machine learning, computer science, or a related field.
  • •Strong Python and PyTorch experience.
  • •Experience building concurrent or parallel systems using multiprocessing, async I/O, and/or threading.
  • •Hands-on exposure to distributed machine learning via internship, coursework, or serious projects.
  • •Experience with AWS, GCP, or other hyperscalers.
Education:Master's
Languages:English
Tech Stack:PythonPyTorchMultiprocessingAsync I/OThreadingAWSGCP

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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