Machine Learning Engineer - Intern

Pluralis Research
Melbourne, Sydney
Workplace: RemoteInternshipFunction: Data Science & Machine LearningSkills: []

Work on Agora, a production decentralised training system, alongside engineers training multi-node models at scale. You’ll design and ship a well-scoped roadmap project, improve concurrent/parallel components (multiprocessing, async I/O, threading), and contribute daily to a production distributed ML codebase. The role includes hands-on work with large-scale training infrastructure across AWS and GCP, with mentorship from a buddy and a final presentation to engineering and research teams.

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FursaFursa
Pluralis Research
Pluralis Research
16 hours ago

Machine Learning Engineer - Intern

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Last checked: 5 hours agoStatus: Live

Job Summary

Work on Agora, a production decentralised training system, alongside engineers training multi-node models at scale. You’ll design and ship a well-scoped roadmap project, improve concurrent/parallel components (multiprocessing, async I/O, threading), and contribute daily to a production distributed ML codebase. The role includes hands-on work with large-scale training infrastructure across AWS and GCP, with mentorship from a buddy and a final presentation to engineering and research teams.
Location: Melbourne, Sydney
Workplace: Remote
Employment Type: Internship · 3 months
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

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

Key Requirements

  • •Currently enrolled in (or recently completed) a Masters or PhD in machine learning, computer science, or a related field.
  • •A genuine ML background that can keep pace with a research-driven team.
  • •Strong Python and PyTorch skills.
  • •Experience building concurrent or parallel systems using multiprocessing, async I/O, and threading.
  • •Hands-on exposure to distributed machine learning, and experience working with AWS or GCP (or other hyperscalers).
Experience:Distributed machine learningDistributed trainingHyperscalers
Education:
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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