{"id":426712,"url":"https://alion.io/job/build-ai-research-intern","title":"Research Intern","company":{"id":456056,"name":"Build AI","domain":"build.ai","url":"https://alion.io/company/build-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":12000,"max":12000,"currency":"USD","period":"month","gross":null,"usd_annual":144000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"PyTorch","optional":false},{"name":"World Models","optional":false},{"name":"Claude","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-08-30T12:52:54Z","employer_posted_date":"2026-08-30","last_verified_at":"2026-11-08T03:53:29Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"About Build AI\nBuild AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.\nJob Summary\nWe’re hiring Research Interns to train on the physical labor dataset. You run a real research bet for about 12 weeks, not a toy project. Collection is monocular 1920×1080p 30fps, targeting 100M hours. If you have a bet on video, world models, or physical-labor data, you might as well run it here.\nKey Responsibilities\nRun a research bet on Build data: train, evaluate, ablate, and write down what the data actually taught\n\nWork with researchers, dataset, and evals so the internship changes collection or evals, not only a slide\n\nBuild the training and data path you need (PyTorch, dataset slices, evals) instead of waiting for a platform team\n\nCover research and engineering. There is no intern track that is only notebooks\n\nYou may be a good fit if you have (Must-have qualifications)\nProgress toward a Bachelor’s, Master’s, or PhD (preferred) in CS, EE, or a related field\n\nYou have trained real models (course, lab, open source, or a paper). PyTorch or equivalent\n\nYou want in-the-wild physical or video data, not only academic splits\n\nYou can operate independently on a 12-week bet\n\nYou will be in San Francisco, in person\n\nStrong candidates may also have experience with (Nice-to-have qualifications)\nVideo, world models, robotics, or multimodal training\n\nEgocentric or in-the-wild video\n\nLarge-scale training, dataset curation, or distributed GPU work\n\nPublication at a top conference (CVPR, NeurIPS, ICML, ICLR, RSS, CoRL, or equivalent)\n\nA paper, open-source model, or project that changed what you did next\n\nBenefits\nCompetitive pay\n\nMedical, dental, and vision packages with generous premium coverage\n\n$500 per month credit for waiving medical benefits\n\nHousing subsidy of $2k per month for those living within walking distance of the office\n\nRelocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)\n\nVarious wellness benefits covering fitness, mental health, and more\n\nDaily lunch and dinner in our office\n\nUnlimited compute budget subject to ROI justification\n\nUnlimited Codex and Claude credits\n\nTravel\n\nHow we're different\nBuild believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.\nWe are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.\nBuild AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. 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