2026 AI/ML Intern - Applied Research

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 Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design!

What You'll Do

• Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express.

• Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.

• Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.

• Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows.

• Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment.

• Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life.

• Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback.

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

• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.

• Proficient in one or more programming languages such as Python, Java and C

• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn

• Strong analytical and quantitative problem-solving ability.

• Excellent communication, relationship skills and a team player

• Ability to participate in a full-time internship between May-September

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 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.

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