Research Engineer Intern

The role

You will work on Agora, a production decentralized training system. You will design, build, and ship well-scoped projects on the Agora roadmap.

What you will do

• Design, build, and ship a well-scoped project on the Agora roadmap
• Give a final presentation to the engineering and research teams
• Build and improve multiprocessing, async I/O, and threading components
• Work hands-on with large-scale training infrastructure across cloud providers
• Contribute to the production codebase every day

Required qualifications

• 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 building concurrent or parallel systems: multiprocessing, async I/O, threading
• Hands-on exposure to distributed machine learning via internship, coursework, or serious projects
• Experience with AWS, GCP, or other hyperscalers
• Believe Protocol Learning is the viable third path for collective, trustless, and sovereign AI
• Professional-level English proficiency (written and spoken)

Nice to have

• Top-tier ML publications
• Open-source contributions to ML frameworks, distributed systems, or networking libraries

Before you apply

• Australia-based candidates only
• You'll need to be comfortable working across timezones

About the company

Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices. They are a world-class, deeply technical team of ML researchers backed by Union Square Ventures and other tier-1 investors.