[Hiring] Research Engineer Intern @Pluralis Research

Role Description

As a Research Engineer Intern you'll work on Agora, our production decentralized training system, alongside the engineers running real multi-node training at scale. Intern projects are well-scoped pieces of our live roadmap, not side experiments: you'll ship real work in week one and own a genuine open problem by the end of your internship.

• Ship a roadmap project: Design, build, and ship a well-scoped project on the Agora roadmap, with a final presentation to the engineering and research teams.
• Concurrent and parallel systems: Build and improve multiprocessing, async I/O, and threading components inside a production distributed training stack.
• Training infrastructure: Work hands-on with large-scale training infrastructure across cloud providers (AWS/GCP).
• Daily production work: Contribute to the production codebase every day, with code review and mentorship from a buddy on the Agora team.

Qualifications

• ML background (required): Current enrollment in, or recent completion of, a Masters or PhD in machine learning, computer science, or a related field. You can keep pace with a research-driven team, not just a strong generalist engineering profile.
• Strong engineering: Strong Python and PyTorch, and experience building concurrent or parallel systems: multiprocessing, async I/O, threading.
• Distributed ML exposure: Hands-on exposure to distributed machine learning via internship, coursework, or serious projects, and experience with AWS, GCP, or other hyperscalers.
• Mission alignment: You believe Protocol Learning is the viable third path for collective, trustless, and sovereign AI.

Nice to Have

• Top-tier ML publications (welcome, but not required for systems-focused candidates).
• Open-source contributions to ML frameworks, distributed systems, or networking libraries.

Requirements

• This is a full-time, fixed-term internship: 3 months, with the option to extend. Australia-based candidates only.
• We work remotely across the world, with the main teams in Australia and North America. You'll need to be comfortable working across timezones.
• Applicants must have professional-level English proficiency (written and spoken).
• Recruiters: we aren't looking for agency support at this time. We'll reach out if we need help.

Company Description

We are backed by Union Square Ventures and other tier-1 investors, and we are a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We believe AI, and the world, end up on a better path if we succeed in implementing the protocol for intelligence. If this resonates, please apply.