{"schemaVersion":"jobsearcher.job.v1","id":"81821d81dc3debf1769f4a55","url":"https://jobsearcher.com/jobs/81821d81dc3debf1769f4a55","canonicalUrl":"https://jobsearcher.com/jobs/81821d81dc3debf1769f4a55","title":"Staff Machine Learning Engineer - ML Frameworks","description":"Firefly Generative AI Model EvolutionFirefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.What you will do:Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloudImplement and improve distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for FSDP and model parallelismHelp train better models by improving orchestration and scheduling, scaling the number of jobs, faster experimentation with AutoML and similarCollaborate with data scientists and ML researchers to streamline the model training pipeline and ensuring efficient resource utilizationDrive innovation in infrastructure practices to support pioneering machine learning research and developmentWhat you need to succeed:PhD or Master's in computer science or related field and 5+ years of hands-on industry experienceProven proficiency with Python and developing systems, frameworks and SDKsExperience with infrastructure and understanding of model serving, training, orchestration, and management of GPU resourcesExperience with machine learning and distributed PytorchStrong critical thinking, analytical and quantitative problem-solving abilityExcellent communication, relationship skills and a strong teammateWhile not required, it's an added plus if you also have:Experience with KubeFlow, MLFlow, Ray, SageMaker, or similarExperience with PyTorch distributed, MPI, Megatron, Horovod and other AI training frameworksExpected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $211,800 - $306,625In Washington, the pay range for this position is $201,000 - $291,150At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.State-Specific Notices:California: Fair Chance OrdinancesAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and \"fair chance\" ordinances.Colorado: Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Massachusetts: Massachusetts Legal NoticeIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","company":"Adobe","rawCompany":"adobe","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-11T13:00:35.785Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer - ML Frameworks","description":"Firefly Generative AI Model EvolutionFirefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.What you will do:Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloudImplement and improve distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for FSDP and model parallelismHelp train better models by improving orchestration and scheduling, scaling the number of jobs, faster experimentation with AutoML and similarCollaborate with data scientists and ML researchers to streamline the model training pipeline and ensuring efficient resource utilizationDrive innovation in infrastructure practices to support pioneering machine learning research and developmentWhat you need to succeed:PhD or Master's in computer science or related field and 5+ years of hands-on industry experienceProven proficiency with Python and developing systems, frameworks and SDKsExperience with infrastructure and understanding of model serving, training, orchestration, and management of GPU resourcesExperience with machine learning and distributed PytorchStrong critical thinking, analytical and quantitative problem-solving abilityExcellent communication, relationship skills and a strong teammateWhile not required, it's an added plus if you also have:Experience with KubeFlow, MLFlow, Ray, SageMaker, or similarExperience with PyTorch distributed, MPI, Megatron, Horovod and other AI training frameworksExpected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $211,800 - $306,625In Washington, the pay range for this position is $201,000 - $291,150At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.State-Specific Notices:California: Fair Chance OrdinancesAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and \"fair chance\" ordinances.Colorado: Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Massachusetts: Massachusetts Legal NoticeIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","datePosted":"2026-09-11T13:00:35.785Z","dateModified":"2026-09-11T13:00:35.785Z","hiringOrganization":{"@type":"Organization","name":"Adobe","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81821d81dc3debf1769f4a55"},"url":"https://jobsearcher.com/jobs/81821d81dc3debf1769f4a55"}}