{"schemaVersion":"jobsearcher.job.v1","id":"ef383e67ad1d1bdc6115c77a","url":"https://jobsearcher.com/jobs/ef383e67ad1d1bdc6115c77a","canonicalUrl":"https://jobsearcher.com/jobs/ef383e67ad1d1bdc6115c77a","title":"Data Engineer - Multimodal Systems","description":"Zyphra is an artificial intelligence company based in San Francisco, California.The Role:As a Data Engineer - Multimodal Systems, you will be a core contributor to creating, collecting, and improving Zyphra’s datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines.You’ll Work Across:Large-scale data collection across a variety of modalities (text, audio, image)Designing and working with highly efficient, parallelized data processing pipelines across modalitiesDesigning and running rigorous experimental ablations to demonstrate the impact of new data improvementsWhat We're Looking For / Requirements: Strong implementation and prototyping abilityCan take an idea from conception to experimentation quicklyThe ability to work well with others in a high-paced research settingCan rapidly learn new fields and are excited to implement new ideasExcellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills:Experience collecting, handling, and processing large datasetsExperience with parallel Python programming frameworks such as DaskUnderstanding of the state-of-the-art in dataset curation across modalitiesA generally meticulous nature and a strong interest in actually looking at data and sanity checking thingsStrong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testingUnderstanding of and interest in large-scale, highly parallel data processing pipelines. Proficiency with PyTorch and Python. Experience contributing to large pre-existing codebases and rapidly getting up to speed. Previously published machine learning research in well-respected venues. Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)Why Work at Zyphra:Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valuedWe strongly value new and crazy ideas and are very willing to bet big on new ideasWe move as quickly as we can; we aim to minimize the bar to impact as low as possibleWe all enjoy what we do and love discussing AIBenefits and Perks:Comprehensive medical, dental, vision, and FSA plansCompetitive compensation and 401(k) planRelocation and immigration support on a case-by-case basisIn-office snacks and meals providedUnlimited PTO and company holidaysIn-person team in San Francisco with a collaborative, high-energy environment","company":"Zyphra","rawCompany":"zyphra","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T11:19:04.635Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Multimodal Systems","description":"Zyphra is an artificial intelligence company based in San Francisco, California.The Role:As a Data Engineer - Multimodal Systems, you will be a core contributor to creating, collecting, and improving Zyphra’s datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines.You’ll Work Across:Large-scale data collection across a variety of modalities (text, audio, image)Designing and working with highly efficient, parallelized data processing pipelines across modalitiesDesigning and running rigorous experimental ablations to demonstrate the impact of new data improvementsWhat We're Looking For / Requirements: Strong implementation and prototyping abilityCan take an idea from conception to experimentation quicklyThe ability to work well with others in a high-paced research settingCan rapidly learn new fields and are excited to implement new ideasExcellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills:Experience collecting, handling, and processing large datasetsExperience with parallel Python programming frameworks such as DaskUnderstanding of the state-of-the-art in dataset curation across modalitiesA generally meticulous nature and a strong interest in actually looking at data and sanity checking thingsStrong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testingUnderstanding of and interest in large-scale, highly parallel data processing pipelines. Proficiency with PyTorch and Python. Experience contributing to large pre-existing codebases and rapidly getting up to speed. Previously published machine learning research in well-respected venues. Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)Why Work at Zyphra:Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valuedWe strongly value new and crazy ideas and are very willing to bet big on new ideasWe move as quickly as we can; we aim to minimize the bar to impact as low as possibleWe all enjoy what we do and love discussing AIBenefits and Perks:Comprehensive medical, dental, vision, and FSA plansCompetitive compensation and 401(k) planRelocation and immigration support on a case-by-case basisIn-office snacks and meals providedUnlimited PTO and company holidaysIn-person team in San Francisco with a collaborative, high-energy environment","datePosted":"2026-04-09T11:19:04.635Z","dateModified":"2026-04-09T11:19:04.635Z","hiringOrganization":{"@type":"Organization","name":"Zyphra","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ef383e67ad1d1bdc6115c77a"},"url":"https://jobsearcher.com/jobs/ef383e67ad1d1bdc6115c77a"}}