{"id":35015,"url":"https://alion.io/job/luma-ai-research-scientist-world-model","title":"Research Scientist - World Model","company":{"id":247,"name":"Luma AI","domain":"lumalabs.ai","url":"https://alion.io/company/luma-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":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":225000,"max_usd":500000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-07-24T21:55:56Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-11-03T22:14:52Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":102},"description":"You'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. This is the role at the center of the thesis.\nYou'll invent next-generation world-model architectures and the controllability that lets an agent step into a generated world, and own the metrics that define success. It fits a researcher with deep generative-modeling or model-based-RL expertise who has trained models to the limits of a multi-node cluster. If you want a narrow, well-scoped research problem, this is broader and more open-ended than that.\nWhat You'll Own\nInvent next-generation world-model architectures (diffusion, transformer, autoregressive, or hybrid), focused on controllability and physical consistency.\n\nDevelop controllability mechanisms - action conditioning, view conditioning, long-horizon rollouts - that let an agent step into the world.\n\nDefine and own the metrics: physical fidelity, long-horizon coherence, action-following, and downstream usefulness for policy training.\n\nRun scaling studies that show where compute, data, and architecture pay off.\n\nPublish at the frontier and contribute to the open-source release that is the long-term deliverable.\n\nFirst 90 Days\nOne way the first 90 could unfold.\nDays 1-30 - Immerse & Diagnose: Get deep on the current video models and where they fall short as world models.\n\nDays 30-60 - Ship & Validate: Prototype a controllability mechanism or architecture change and measure it against physical-fidelity and action-following metrics.\n\nDays 60-90 - Scale & Systemize: Run scaling studies and push the most promising direction toward the open release.\n\nWhat You Bring\nPhD or equivalent research record in ML, computer vision, robotics, or a related field.\n\nDeep expertise in at least one of: large-scale generative modeling (video/3D/world), self-supervised representation learning, or model-based RL.\n\nStrong PyTorch and large-scale training experience, to the limits of a multi-node cluster.\n\nA research record the field knows (top-venue publications and/or widely used open releases).\n\nNice to Have\nPrior work on world models, model-based RL, generative video, neural simulation, or 4D scene representations.\n\nExperience using generative models for downstream embodied tasks (planning, control, evaluation).\n\nEnthusiasm for open-sourcing frontier models.\n\nAbout Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence - the next step beyond language models comes from vision. Luma is an equal opportunity employer.","description_format":"text","description_chars":2693,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Generative 3D","Generative Image","Generative Video"],"lifecycle":[{"event":"open","at":"2026-07-24T21:55:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 37","filings_12m":37,"filings_prev_12m":9,"green_card_filings_12m":0,"median_offered_wage_usd":183446,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":33}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.606,"p_room":0.36,"age_days":101,"expected_fill_days":58,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/luma-ai-research-scientist-world-model","json_url":"https://alion.io/job/luma-ai-research-scientist-world-model.json","meta":{"generated_at":"2026-11-03T22:28:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1095,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":247},"rest":"https://alion.io/mcp/rest/get_company?id=247"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fluma-ai-research-scientist-world-model"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fluma-ai-research-scientist-world-model"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fluma-ai-research-scientist-world-model"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/luma-ai-research-scientist-world-model\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fluma-ai-research-scientist-world-model"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":35015}},{"tool":"search_jobs","arguments":{"company":"lumalabs.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":35015},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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