At a Glance
- Tasks: Build and optimise distributed ML systems for cutting-edge Protocol Learning.
- Company: Join Pluralis Research, a leader in innovative tech with a remote-first culture.
- Benefits: Enjoy competitive pay, Visa sponsorship, and flexible remote work options.
- Other info: Be part of a dynamic team with exciting growth opportunities.
- Why this job: Make a real impact by scaling large models on diverse hardware globally.
- 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 Canberra 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.
