Pluralis Research is pioneering Protocol Learning — a fully decentralized way to train and deploy AI models that opens this capability to individuals rather than well-resourced corporates. By pooling compute from many participants, incentivizing their efforts, and preventing any single party from controlling a model's full weights, we're creating a genuinely open, collaborative path to frontier-scale AI.
We're looking for a Developer Relations Lead to be the technical bridge between Pluralis's research and the broader ML/systems community. You'll take dense, novel research (distributed training, communication-efficient model parallelism, fault-tolerant optimization) and make it legible, compelling, and accessible to researchers, engineers, and builders.
This isn't a traditional marketing role. We need someone who can read our papers, understand the architecture, and explain it clearly in a blog post, a conference talk, or a Twitter thread. You'll own our technical voice and be the person the community associates with Pluralis's work.
Technical Content: Write blog posts, threads, and explainers that break down our research for ML engineers and systems researchers. Turn papers into narratives. Produce technical walkthroughs of our training runs, architecture decisions, and results.
Community and Developer Engagement: Own Discord and Twitter/X as technical channels. Engage directly with researchers and engineers in ML, distributed systems, and decentralized compute communities. Be present and credible in spaces like Hacker News, Reddit (r/MachineLearning, r/LocalLLaMA), and relevant Discords.
Conference and Event Presence: Represent Pluralis at ML conferences (ICLR, ICML, NeurIPS). Give talks, run demos, and build relationships with the research community on the ground.
Contributor Experience: Improve the onboarding and communication experience for GPU contributors participating in training runs. Write documentation, guides, and troubleshooting resources.
Multimedia: Produce and edit video content--paper walkthroughs, research explainers, contributor tutorials. Manage the YouTube channel.
Partnership Support: Create co-marketing materials and coordinate announcements with ecosystem partners. Support the team with investor and press-facing technical content when needed.
Growth and Analytics: Track metrics across all channels. Run experiments, optimize for discoverability, and double down on what drives engagement. Own reporting on community growth, content performance, and contributor pipeline.
Market Intelligence: Track developments across decentralized training, open-weight releases, and frontier model development. Feed insights to leadership so we stay ahead of the conversation.
Technical Depth: You can read an ML paper and extract the key insight. You understand concepts like model parallelism, pipeline parallelism, gradient compression, and distributed optimization — or you can get up to speed quickly. You don't need to be an ML researcher, but you need to hold your own in a room full of them.
Communication: Exceptional written and verbal skills. You can take a complex system like our fault-tolerant distributed training stack and explain it in a way that's accurate, clear, and interesting to both a PhD student and a crypto-native builder.
Track Record: You've produced technical content that people actually read and share. Blog posts, conference talks, Twitter threads, YouTube videos. Show us your work. 5+ years in DevRel, technical marketing, developer education, or a research-adjacent communication role.
Community Native: You live in the communities we care about. You're already on ML Twitter, in research Discords, lurking on Hacker News. You know who the key voices are and how to earn credibility in technical spaces.
AI-Native: You use AI tools to maximize your output. If you're not already using agents and LLMs to 10x your work, this probably isn't the right fit.
Self-Directed: Owns outcomes, operates independently. We're a small team--you'll have a lot of autonomy and responsibility. You'll work closely with researchers and engineers to source content, but you drive the strategy and execution.
Bonus Points: Published research, open-source contributions, previous experience at an ML/AI company, developer relations at an infrastructure or dev tools company.
Equity-Heavy Package: Meaningful ownership in a seed-stage company.
Competitive Base: Pluralis is hiring the best. Our team is from Google, Amazon, Atlassian, Anthropic. We want to remain competitive.
Remote-First Culture: Flexible work environment with team members distributed in Australia and the United States. This is a full-time, remote position with the opportunity to collaborate with the team in person on a quarterly basis.
We only hire in Australia and the United States to ensure timezones align.
Applicants must have professional-level English proficiency (written and spoken).
Pluralis is a remote team across Australia and the US. You'll need to be comfortable working across timezones and collaborating with a diverse, distributed group.
Recruiters: we aren't looking for agency support at this time. We'll reach out if we need help.
Backed by Union Square Ventures and other tier-1 investors, we're a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolizing model development, access and release, and achieving massive economic capture. If this resonates, please apply.
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