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Staff Machine Learning Engineer

Adobe - San Jose, CA

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Job Description

Staff Machine Learning Engineer 5 page is loaded Staff Machine Learning Engineer 5 Apply locations San Jose Seattle time type Full time posted on Posted 2 Days Ago job requisition id R158500Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! JOB LEVEL P50 EMPLOYEE ROLE Individual Contributor Sr Machine Learning Services Engineer The Opportunity Adobe is looking for an ML Services Engineer to bring new and exciting AI/ GenAI based capabilities to its flagship products like Photoshop and Lightroom. As part of the Applied research organization, you will partner with Adobe Research and business units to deliver cutting-edge AI/ GenAI powered cloud services, to light up exciting new product capabilities. You will join a team of dedicated engineers to expanding the cloud offerings behind some of Adobe’s most successful and innovative creative products. What you’ll do Design, build, deploy and support reliable and scalable world class cloud-based servicesDesign and architect optimized ML pipelines for running models in the cloudAnalyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflowsDesign and implement model integration testing, and regression testing for model evaluation with refinementsBuild and maintain CI/CD pipeline for a suite of microservicesCollaborate with product management, user experience and engineering groups to develop new products and features.Provide production level support for customersWhat you need to succeed Several years experience architecting cloud services and infrastructure for large scale use, reliability and performanceVery strong coding, debugging, and development skills in Python, JavascriptProficient in various cloud technologies like AWS, Kubernetes, DockerFamiliarity with AIT, CUDA, and using Pytorch , TensorFlow, or ONNXRuntimeExperience with model conversion and compression techniquesAbility to write well-designed, testable code.Strong analytical and quantitative problem-solving ability.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 positionis $162,000 -- $301,200 annually. Paywithin this range varies by work locationand 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. At 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 Ordinances Adobe 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 Notice If 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 Notice It 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. Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, call (408) 536-3015. Similar Jobs (5)Machine Learning Engineer 5 locations San Jose time type Full time posted on Posted 30+ Days Ago Machine Learning Engineer locations San Jose time type Full time posted on Posted 29 Days Ago Machine Learning Engineer locations San Jose time type Full time posted on Posted 30+ Days Ago At Adobe, you will be immersed in an exceptional work environment that isrecognized around the world . You will also be surrounded by colleagues who are committed to helping each other grow through our uniqueCheck-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on theAdobe Life blog and explore the meaningfulbenefits we offer. Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more. Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, call (408) 536-3015.#J-18808-Ljbffr

Created: 2025-09-29

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