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2024 Intern - Machine Learning Engineer/Researcher
2024 Intern - Machine Learning Engineer/Researcher-November 2024
San Jose
Nov 5, 2025
About 2024 Intern - Machine Learning Engineer/Researcher

  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 seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies.This is an exciting internship opportunity inside Adobe Firefly'sapplied researchorganization.You will be surrounded by amazing talents who build the Firefly family of models fromresearchinceptionall the way to production.We offer internship rolessituatedatdifferent stagesof the development pipeline from fundamental research to advanced development toproduction engineeringdirectly shapingthe training and integration of Firefly production models.Your role will center on pioneering models and applications that shape the future of technology in the realms of images, videos, audio, and 3D. Join us in reshaping the future of technology and customer experiences at Adobe!

  WhatYou'llDo

  Work towards results-oriented research goals, whileidentifyingintermediate achievements.

  Contribute toresearchand advanced developmentthat can be applied to Adobe product development.

  Help integrating novel research work into AdobeFireflyproduct.

  Lead and collaborate on projects across differentteams.

  What You Need toSucceed

  Currently enrolled full time and pursuing aMaster'sor PhDin Computer Science, Computer Engineering, Electrical Engineer,machine learning, AI, computer science, statistics, or scene semantic understandingor equivalent experiencerequired

  1 +years of experience incomputer vision or naturallanguage processing or machine learning

  Some experience in Generative AI

  Experience communicating research for public audiences of peers.

  Experience working in teams.

  Knowledge inPython and typical machine learning developmenttoolkits.

  Ability toparticipatein a full-time internship between May-September.

  Ifyou'relooking to make an impact,Adobe'sthe place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

  Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race,gender, sexual orientation, gender identity,disabilityor veteran status.

  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 $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

  Adobe is proud to be anEqual Employment Opportunityand 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 protected] 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.

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