Distributed ML Systems Engineer – Remote in Port Macquarie

Distributed ML Systems Engineer – Remote in Port Macquarie

Port Macquarie Full-Time 121500 - 148500 $ / year (est.) Remote
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At a Glance

  • Tasks: Build and optimise distributed training systems for cutting-edge ML models.
  • Company: Join Pluralis Research, a leader in innovative tech with a remote-first culture.
  • Benefits: Enjoy Visa sponsorship, flexible work arrangements, and opportunities for growth.
  • Other info: Be part of a dynamic team pushing the boundaries of AI research.
  • Why this job: Make a real impact in the world of machine learning and work with top-tier technology.
  • Qualifications: Hands-on experience in distributed training and strong engineering skills required.

The predicted salary is between 121500 - 148500 $ per year.

Pluralis Research is seeking a Research Engineer to build the training system that scales Protocol Learning from the 8B run to frontier scale: large models on heterogeneous hardware across regions, connected via ordinary internet.

You will contribute to distributed pretraining, performance optimization, elasticity, and run instrumentation, with a remote-first culture and Visa sponsorship options.

This role requires hands-on distributed training experience and strong engineering skills.

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Distributed ML Systems Engineer – Remote in Port Macquarie employer: Pluralis Research

At Pluralis Research, we pride ourselves on being a remote-first AI startup that fosters a dynamic and innovative work culture. Our Operations Associate role not only provides the opportunity to collaborate closely with our leadership team but also encourages personal and professional growth through exposure to diverse operational projects. With a commitment to leveraging cutting-edge AI tools, we empower our employees to streamline workflows and contribute meaningfully to our mission of building a decentralised AI ecosystem.

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Contact Details:

Pluralis Research Recruitment Team

We think you need these skills to ace Distributed ML Systems Engineer – Remote in Port Macquarie

Distributed Training Experience
Performance Optimization
Elasticity in Systems
Run Instrumentation
Engineering Skills
Scalability of Models
Heterogeneous Hardware Management