ML Engineer Intern – Distributed Training Systems

Unchain Data; City of Melbourne; On-site; AUD 13,000 - 20,000; Part time

Job summary

Pluralis Research is pioneering Protocol Learning and inviting a Machine Learning Engineer Intern to join the Agora team, a production decentralised training system. This fixed-term internship (3 months, with option to extend) emphasizes delivering real work from week one and taking ownership of open problems by internship end.

Your responsibilities include designing a scoped project, implementing concurrent components, and collaborating across engineering and research teams to progress the

Qualifications

• Current enrolment in (or recent completion of) a Masters or PhD in machine learning, computer science or a related field.
• Engineering-inclined candidates from either level are welcome.
• Hands-on exposure to distributed machine learning via internship, coursework or projects.

Responsibilities

• Design, build and ship a well-scoped project on the Agora roadmap, with a final presentation to both teams.
• Build and improve concurrent and parallel systems components 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: code review and mentorship from a buddy on the Agora team.

Skills

Python

PyTorch

multiprocessing

async I/O

threading

distributed ML

AWS

GCP

Education

Masters or PhD in ML/CS

Tools

AWS

GCP

Job description

Pluralis Research is pioneering Protocol Learning and inviting a Machine Learning Engineer Intern to join the Agora team, a production decentralised training system. This fixed-term internship (3 months, with option to extend) emphasizes delivering real work from week one and taking ownership of open problems by internship end.

Your responsibilities include designing a scoped project, implementing concurrent components, and collaborating across engineering and research teams to progress the