{"schemaVersion":"jobsearcher.job.v1","id":"6a4bdba5ac150860931af1c5","url":"https://jobsearcher.com/jobs/6a4bdba5ac150860931af1c5","canonicalUrl":"https://jobsearcher.com/jobs/6a4bdba5ac150860931af1c5","title":"Research Scientist - Diffusion Models","description":"Overview\nDiffusion models have transformed image, video, and multimodal AI.\n\nWe're applying those ideas to one of the next frontiers in machine learning.\n\nAt Granica, we're building Large Tabular Models (LTMs) —foundation models designed to learn natively from enterprise data. Realizing that vision requires new generative modeling techniques capable of learning from structured information at scale.\n\nOur research is led by Prof. Andrea Montanari (Stanford) and explores a fundamental question:\n\nHow can diffusion models enable the next generation of AI for enterprise data?\n\nIf you're excited about inventing new generative learning algorithms and applying them to entirely new domains, we'd love to talk.\n\nWhat You’ll Work On\n\nDevelop novel diffusion models and generative learning algorithms.\n\nResearch new representation learning techniques for Large Tabular Models.\n\nDesign efficient training methods for large-scale generative models.\n\nPrototype and evaluate new generative modeling approaches.\n\nDesign rigorous experiments and benchmarks to measure model quality and efficiency.\n\nCollaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.\n\nWhat We’re Looking For\n\nPhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field.\n\nStrong research record in generative machine learning.\n\nExperience developing new generative models or learning algorithms.\n\nHands‑on experience with PyTorch or JAX.\n\nStrong programming skills in Python.\n\nAbility to turn research ideas into working systems.\n\nExperience with diffusion models, score-based generative modeling, representation learning, probabilistic modeling, or scalable ML systems is particularly relevant.\n\nBonus\n\nResearch applying diffusion models beyond traditional vision tasks.\n\nPublications at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related venues.\n\nOpen‑source or production ML systems experience.\n\nCompensation & Benefits\n\nCompetitive salary, meaningful equity, and performance bonus for top performers\n\n401(k) with company match, comprehensive health coverage, and unlimited PTO\n\nDaily catered meals in our Mountain View office\n\nSupport for research, publication, and conference participation\n\nAt Granica, you’ll help build the next generation of enterprise AI —from exabyte‑scale data infrastructure , Large Tabular Models (LTMs) , and stateful AI agents . Together, we’re creating the infrastructure that enables enterprises to own their data , own the intelligence built on it , and scale both efficiently .\n\n#J-18808-Ljbffr","company":"Granica Computing","rawCompany":"granica computing","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-07T03:14:44.369Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Scientist - Diffusion Models","description":"Overview\nDiffusion models have transformed image, video, and multimodal AI.\n\nWe're applying those ideas to one of the next frontiers in machine learning.\n\nAt Granica, we're building Large Tabular Models (LTMs) —foundation models designed to learn natively from enterprise data. Realizing that vision requires new generative modeling techniques capable of learning from structured information at scale.\n\nOur research is led by Prof. Andrea Montanari (Stanford) and explores a fundamental question:\n\nHow can diffusion models enable the next generation of AI for enterprise data?\n\nIf you're excited about inventing new generative learning algorithms and applying them to entirely new domains, we'd love to talk.\n\nWhat You’ll Work On\n\nDevelop novel diffusion models and generative learning algorithms.\n\nResearch new representation learning techniques for Large Tabular Models.\n\nDesign efficient training methods for large-scale generative models.\n\nPrototype and evaluate new generative modeling approaches.\n\nDesign rigorous experiments and benchmarks to measure model quality and efficiency.\n\nCollaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.\n\nWhat We’re Looking For\n\nPhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field.\n\nStrong research record in generative machine learning.\n\nExperience developing new generative models or learning algorithms.\n\nHands‑on experience with PyTorch or JAX.\n\nStrong programming skills in Python.\n\nAbility to turn research ideas into working systems.\n\nExperience with diffusion models, score-based generative modeling, representation learning, probabilistic modeling, or scalable ML systems is particularly relevant.\n\nBonus\n\nResearch applying diffusion models beyond traditional vision tasks.\n\nPublications at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related venues.\n\nOpen‑source or production ML systems experience.\n\nCompensation & Benefits\n\nCompetitive salary, meaningful equity, and performance bonus for top performers\n\n401(k) with company match, comprehensive health coverage, and unlimited PTO\n\nDaily catered meals in our Mountain View office\n\nSupport for research, publication, and conference participation\n\nAt Granica, you’ll help build the next generation of enterprise AI —from exabyte‑scale data infrastructure , Large Tabular Models (LTMs) , and stateful AI agents . Together, we’re creating the infrastructure that enables enterprises to own their data , own the intelligence built on it , and scale both efficiently .\n\n#J-18808-Ljbffr","datePosted":"2026-07-07T03:14:44.369Z","dateModified":"2026-07-07T03:14:44.369Z","hiringOrganization":{"@type":"Organization","name":"Granica Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6a4bdba5ac150860931af1c5"},"url":"https://jobsearcher.com/jobs/6a4bdba5ac150860931af1c5"}}