---
title: "Research Engineer Intern"
company: "Pluralis Research"
company_url: "https://www.remjobs.works/companies/pluralis-research"
url: "https://www.remjobs.works/job/pluralis-research-research-engineer-intern-6b6d0987-6ae7-48ef-a476-2c10ba1f7cdc"
apply_url: "https://jobs.ashbyhq.com/pluralis-research/8860e7ec-90f0-4fc8-bd83-90063137ec45"
workplace: remote
location: "Australia"
remote_scope: "Australia"
employment_type: full-time
seniority: internship
role: ai-machine-learning
region: asia-pacific
skills: ["aws", "gcp", "python", "pytorch"]
date_posted: 2026-08-31T22:13:22.788Z
first_seen_by_remjobs: 2026-09-17T11:39:12.860Z
---

# Research Engineer Intern

**Pluralis Research** · Australia

Apply: https://jobs.ashbyhq.com/pluralis-research/8860e7ec-90f0-4fc8-bd83-90063137ec45

## About the role

Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet. Despite being dismissed as infeasible, we have made significant advances on this problem, most recently Agora, a permissionless run that pretrained an 8B model from scratch on consumer GPUs spread over the internet, with no single participant ever holding the full weights ([tech report](https://arxiv.org/abs/2607.13332)). While many of the core research problems have been solved, Protocol Learning unlocks a series of new challenges. For the mission in full, read [A Third Path: Protocol Learning](https://pluralis.ai/blog/a-third-path-protocol-learning/).

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.

#### Key Responsibilities

- 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.

#### What We're Looking For

- 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.

#### FYI's

- 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.*We are backed by *[Union Square Ventures](https://www.usv.com/)* 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.*

---

Source: Pluralis Research's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/pluralis-research-research-engineer-intern-6b6d0987-6ae7-48ef-a476-2c10ba1f7cdc