2026 AI/ML Intern - Machine Learning Engineer Intern job opportunity at Adobe.

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Adobe 2026 AI/ML Intern - Machine Learning Engineer Intern
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Pattern: full-time
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loacation San Jose, United States Of America
loacation San Jose....United States Of America

Our Company Changing 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!   The Opportunity  Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. At Adobe Firefly, we build foundation generative models for image, video, and other modalities that power the suite of products at Adobe. By using predictive models, experimental design methods, and optimization techniques, the candidate will research, experiment, develop, and optimize CV algorithms/models that understand, generate and enhance data for training pioneering image and video foundation models powered by data, training, and inference infrastructures.  All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.   What You’ll Do  Design, implement, and optimize backend services and APIs supporting the generative AI platform. Collaborate with AI researchers and engineers to integrate model training, inference, and data processing pipelines. Collaborate with data, modelling, and inference platform teams to optimize, scale up and deliver end-to-end solutions to production. Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models and applications Contribute to system architecture discussions, focusing on performance, reliability, and maintainability. Write clean, efficient, and well-documented code across modern software engineering stacks (e.g., Python, Node.js, or Java). What You Need to Succeed Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027 Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI. Strong understanding of software engineering fundamentals, including data structures, algorithms, and distributed system design. Proficient in one or more programming languages such as Python, Java and C++ Curiosity and initiative to explore generative AI technologies, with the ability to learn quickly and collaborate effectively in a fast-paced environment. Excellent communication, relationship skills and a team player Ability to participate in a full-time internship between May-September Adobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. 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 Adobe.com 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, email  accommodations@adobe.com  or call (408) 536-3015.  Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.  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 $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. 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 an   Equal Employment Opportunity  employer. 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 Adobe.com 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, email   accommodations@adobe.com  or call (408) 536-3015.

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