2026 Intern - Research Scientist

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

Ready to launch your research career in tech?

When you join us as an research scientist intern, you'll dive into real projects that impact the future of our products. This versatile opportunity allows you to work on world-class projects in computer graphics, computer vision, and machine learning, contributing to Adobe's ambitious goals of transforming creative industries.

Immerse yourself in an inclusive and collaborative environment where your innovative ideas can thrive and make a tangible impact.

This opportunity is based in London with a hybrid schedule (2–3 days/week onsite). The internship is 3 months long, with a typical start date between June and August 2026. In exceptional cases, we offer longer internships.

The Opportunity:

Adobe Research is seeking forward-thinking minds who are passionate about developing research areas that make a difference in Adobe's products and future endeavors. Specifically, you will work on problems related to, but not limited to, generative image and video models, multimodal LLMs, inverse rendering, neurosymbolic models, and 3D analysis.

We are currently accepting applications for Research and Engineering internships in Spring, Summer, and Fall 2026. Candidates pursuing a Ph.D., master's degree, or equivalent experience are encouraged to apply. Working directly with one or multiple researchers, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work reach millions of users worldwide. Research internships at Adobe typically result in a top tier publication including at SIGGRAPH, CVPR, ECCV/ICCV, NeurIPS.

Summary:

Adobe Researchers are actively working on novel computer vision and graphics problems, drawing on both classical paradigms and generative models. Our goal is to enhance content creation workflows by providing our users with control, ease of use, and speed. Our research labs are actively publishing in leading journals and conferences, work with product teams on-high-profile features, and explore new product opportunities across various domains. We are especially interested in encouraging ongoing teamwork that extends beyond the internship and become integral to your PhD or Master's thesis.

What you will do:

Under the direction of an Adobe Research mentor you will work on a research problem. In addition to investigating the existing solutions, you will experiment with novel ideas, develop proof of concept demos, and present your findings. During the internship, you will have to opportunity to get along with other interns and researchers inside Adobe as well as get insights about Adobe's products.

What you will need:

·       Current Ph.D. or Master's student in computer science or a related field.

·       Sufficient research skills and background in machine learning, generative models, and/or computer graphics.

·       Strong communication skills and teamwork experience

·       Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms.

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.

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