{"id":531742,"url":"https://alion.io/job/gensyn-research-intern","title":"Research Intern","company":{"id":48066,"name":"Gensyn","domain":"gensyn.ai","url":"https://alion.io/company/gensyn","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":71000,"period":"year","method":"global_role_seniority_cell","sample_n":829},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2025-04-23T21:27:07Z","employer_posted_date":"2025-12-04","last_verified_at":"2026-11-05T22:01:16Z","board_verified":true,"closed_at":null,"days_open":561,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":560},"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.\nThe Role\nContribute 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.\nResponsibilities\nContribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale\nDesign and prototype novel neural network architectures for decentralized compute environments\nContribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR\nCompetencies\nMust Have \nCurrently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field \nPrior experience conducting original research, ideally with authorship or co-authorship on ML papers\nStrong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow\nSelf-directed, curious, and able to thrive in an environment with high autonomy\nExcellent written and verbal communication skills\nPreferred\nResearch experience in distributed systems, continual learning, or modular neural architectures\nA desire to contribute to open research and collaborate with the broader ML research community\nNice to Have\nExperience at the intersection of cryptography and machine learning\nPlease note: the benefits listed below apply to full-time employees only\nCompensation / Benefits\nCompetitive salary + share of equity and token pool\nFully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones\nVisa sponsorship - available for those who would like to relocate to the US after being hired\n3-4x all expenses paid company retreats around the world, per year\nWhatever equipment you need\nPaid sick leave and flexible vacation\nCompany-sponsored health, vision, and dental insurance - including spouse/dependents [ only]\nOur Principles\nAutonomy & Independence\nDon’t ask for permission - we have a constraint culture, not a permission culture.\nClaim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.\nPush & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.\nCommunicate to be understood rather than pushing out information and expecting others to work to understand it.\nStay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.\nRejection of mediocrity & high performance\nGive direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.\nEmbrace an extreme learning rate - rather than assuming limits to your ability / knowledge.\nDon’t quit - push to the final outcome, despite any barriers.\nBe anti-fragile - balance short-term risk for long-term outcomes.\nReject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.","description_format":"text","description_chars":3936,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental 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