JOB  DETAILS

Key Responsibilities

• 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.

What We’re Looking For

• 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.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#DesignFintech #GlobalDesigners
#FintechInnovation #CreativeJobs
#DesignHub
#Tech Meets Design
#DesignerNetwork
#Myausjob