Job Application for Research Intern at Gensyn Back to jobs Research Intern Remote Apply 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 Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices.
Responsibilities Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale Design and prototype novel neural network architectures for decentralized compute environments Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR Competencies Must Have Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field Prior experience conducting original research, ideally with authorship or co-authorship on ML papers Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow Self-directed, curious, and able to thrive in an environment with high autonomy Excellent written and verbal communication skills Preferred Research experience in distributed systems, continual learning, or modular neural architectures A desire to contribute to open research and collaborate with the broader ML research community
Nice to Have Experience at the intersection of cryptography and machine learning Please note: the
benefits listed below apply to full-time employees only
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 . Create a Job Alert Interested in building your career at Gensyn? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Employment Company name Title Start date month Select... Start date year End date month Select... End date year Current role Add another LinkedIn Profile: * Publication List (linking to Google Scholar or similar is sufficient): * GitHub Profile: Are you currently enrolled in a PhD program? * Select... How many hours per week would you be able to work and for what duration of time? * What is your potential start date? * What country do you intend to work from? * Do you have current authorization to work in the country selected above or do you require visa support? * Select... What makes you a good fit for this role? (Please do not use an AI generated response) * Submit application Powered by Greenhouse
Location
Remote
Total raised
$50.6M
Last stage
Series A
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.