{"schemaVersion":"jobsearcher.job.v1","id":"480ccf43315ceaa0477f004f","url":"https://jobsearcher.com/jobs/480ccf43315ceaa0477f004f","canonicalUrl":"https://jobsearcher.com/jobs/480ccf43315ceaa0477f004f","title":"Research Scientist, Model Architectures","description":"Zyphra\nis an artificial intelligence company based in San Francisco, California.\n\nThe Role\nAs a Research Scientist, Model Architectures , you will be a core contributor to Zyphra’s AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models.\n\nWhat you need\n\nStrong research taste and intuition\n\nThe ability to work through a research project from conception to execution to write-up\n\nStrong implementation and prototyping ability to take an idea from conception to experimentation extremely quickly\n\nThe ability to work well and cooperate with others in a high‑paced research setting\n\nCuriosity, interest, and joy in understanding intelligence\n\nRequirements\n\nPrevious experience with long‑term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment\n\nExperience with reinforcement learning, control theory, and signal processing\n\nGenerally, a joy in inventing and seriously assessing ‘crazy’ ideas, and the ability to have a unique perspective on things\n\nUnderstanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware\n\nStrong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing\n\nHigh proficiency with PyTorch and Python\n\nStrong ability to jump into large pre-existing codebases and rapidly get up to speed and become productive\n\nPreviously published machine learning research in well‑respected venues\n\nPostgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)\n\nWhy Work at Zyphra\n\nOur research methodology is grounded in methodical, step‑by‑step approaches to ambitious goals\n\nBoth deep research and engineering excellence are equally valued\n\nWe strongly value new and crazy ideas and are very willing to bet big on new ideas\n\nWe move as quickly as we can; we aim to minimize the bar to impact as low as possible\n\nWe all enjoy what we do and love discussing AI\n\nBenefits and Perks\n\nComprehensive medical, dental, vision, and FSA plans\n\nCompetitive compensation and 401(k)\n\nRelocation and immigration support on a case‑by‑case basis\n\nOn‑site meals prepared by a dedicated culinary team; Thursday Happy Hours\n\nIn‑person team in San Francisco, California, with a collaborative, high‑energy environment\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-11T03:43:23.268Z","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":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Scientist, Model Architectures","description":"Zyphra\nis an artificial intelligence company based in San Francisco, California.\n\nThe Role\nAs a Research Scientist, Model Architectures , you will be a core contributor to Zyphra’s AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models.\n\nWhat you need\n\nStrong research taste and intuition\n\nThe ability to work through a research project from conception to execution to write-up\n\nStrong implementation and prototyping ability to take an idea from conception to experimentation extremely quickly\n\nThe ability to work well and cooperate with others in a high‑paced research setting\n\nCuriosity, interest, and joy in understanding intelligence\n\nRequirements\n\nPrevious experience with long‑term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment\n\nExperience with reinforcement learning, control theory, and signal processing\n\nGenerally, a joy in inventing and seriously assessing ‘crazy’ ideas, and the ability to have a unique perspective on things\n\nUnderstanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware\n\nStrong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing\n\nHigh proficiency with PyTorch and Python\n\nStrong ability to jump into large pre-existing codebases and rapidly get up to speed and become productive\n\nPreviously published machine learning research in well‑respected venues\n\nPostgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)\n\nWhy Work at Zyphra\n\nOur research methodology is grounded in methodical, step‑by‑step approaches to ambitious goals\n\nBoth deep research and engineering excellence are equally valued\n\nWe strongly value new and crazy ideas and are very willing to bet big on new ideas\n\nWe move as quickly as we can; we aim to minimize the bar to impact as low as possible\n\nWe all enjoy what we do and love discussing AI\n\nBenefits and Perks\n\nComprehensive medical, dental, vision, and FSA plans\n\nCompetitive compensation and 401(k)\n\nRelocation and immigration support on a case‑by‑case basis\n\nOn‑site meals prepared by a dedicated culinary team; Thursday Happy Hours\n\nIn‑person team in San Francisco, California, with a collaborative, high‑energy environment\n\n#J-18808-Ljbffr","datePosted":"2026-07-11T03:43:23.268Z","dateModified":"2026-07-11T03:43:23.268Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"480ccf43315ceaa0477f004f"},"url":"https://jobsearcher.com/jobs/480ccf43315ceaa0477f004f"}}