Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks – with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.
The Role
- Grow and support Gensyn’s developer ecosystem by creating high-quality technical content and demos, guiding UX improvements, and leading programs that drive adoption among AI researchers, ML engineers, and open-source contributors.
Responsibilities
- Grow and support the ML developer community through Discord, GitHub, events, and structured programs like contributor onboarding, hackathons, and ambassador initiatives
- Create high-quality tutorials, guides, blog posts, and technical content to help developers get started and go deep
- Partner with product and design to review and improve UX across developer-facing surfaces
- Develop demos that showcase Gensyn’s capabilities for training, evaluation, and deployment
- Surface developer feedback and relay insights to product, engineering, and marketing to improve the overall experience
- Act as a connector between core contributors, open-source builders, and the Gensyn team
Competencies
Must Have
- Strong technical writing and communication skills i.e you can explain complex systems clearly and concisely
- Experience growing and supporting technical communities, ideally in ML, AI, or Web3
- Experience working with product/design teams on developer-facing tools
- Interest or experience in decentralized or distributed systems
Preferred
- Experience running community programs (e.g. hackathons, onboarding flows, forums)
- Hands-on experience with several of the following: Python, Markdown, JavaScript, Bash, Git, Docker, YAML, Jupyter Notebook and Typescript.
- Background in content creation (e.g. blogs, talks, guides)
- Familiarity with ML tools and workflows (e.g. PyTorch, JAX, Hugging Face)
Nice to Have
- Exposure to cryptographic protocols or zero-knowledge proofs
- Background in training or deploying ML models at scale
Compensation / Benefits
- Competitive salary + share of equity and token pool
- Fully remote work – we currently hire between the West Coast (PT) and Central Europe (CET) time zones
- Visa sponsorship – available for those who would like to relocate to the US after being hired
- 3-4x all expenses paid company retreats around the world, per year
- Whatever equipment you need
- Paid sick leave and flexible vacation
- Company-sponsored health, vision, and dental insurance – including spouse/dependents [🇺🇸 only]
Our Principles
Autonomy & Independence
- Don’t ask for permission – we have a constraint culture, not a permission culture.
- Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
- Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
- Communicate to be understood rather than pushing out information and expecting others to work to understand it.
- Stay a small team – misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.
Rejection of mediocrity & high performance
- Give direct feedback to everyone immediately – rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
- Embrace an extreme learning rate – rather than assuming limits to your ability / knowledge.
- Don’t quit – push to the final outcome, despite any barriers.
- Be anti-fragile – balance short-term risk for long-term outcomes.
- Reject waste – guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
