Gensyn
Research Associate
Job Summary
This role involves crafting high-quality technical writing that translates Gensyn's research and developments in machine learning and distributed systems into clear and engaging narratives. The candidate will work closely with researchers and engineers to produce long-form essays, explainers, and content that appeal to both technical and strategic audiences. Responsibilities include translating complex concepts, shaping the company's voice in the ML ecosystem, and supporting community and go-to-market efforts. The position requires exceptional writing skills, familiarity with ML and decentralized systems, and the ability to learn and explain advanced technical topics clearly.
Required Skills
Benefits
Job Description
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
- Craft high-signal technical writing and content that translates Gensyn’s cutting-edge ML and distributed systems research into clear, compelling narratives for a variety of target audiences
Responsibilities
- Work closely with researchers, engineers, and leadership to deeply grok research and engineering developments across Gensyn
- Write compelling long-form essays, technical explainers, and narrative pieces about ML, distributed compute, cryptographic proof systems, and related technologies
- Translate dense technical concepts into clear, engaging language that appeals to both technical and strategic audiences
- Shape Gensyn’s voice in the ML and infrastructure ecosystem through writing that is magnetic and rigorous
- Conduct interviews, read papers & code, and extract the “why it matters” behind our work
- Support go-to-market and community efforts with thought leadership that attracts talent, developers, and partners
Competencies
Must Have
- Exceptional writing skills, with a portfolio of published work on ML, systems, and/or decentralisation topics
- Experience collaborating with engineering and research teams to produce deeply technical content
- Proven ability to learn fast and explain hard things via writing, teaching, or product evangelism
- Deep interest in deep learning,the societal effects of AI , and decentralised systems
- Comfort navigating extreme ambiguity and independently determining and driving editorial strategy
Preferred
- Experience working in high-growth startup and/or scaleup environments
Nice to have
- Previous experience as a Machine Learning Researcher or Machine Learning Engineer
- Experience speaking at technical conferences and/or speaking on technical podcasts
- Familiarity with ZK proofs, blockchain infrastructure, and/or cryptographic protocol design
- A strong network or public presence in the ML or AI community
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.
- Build and design thinly.
Safe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.