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 Internship:
- Location: London, UK
- Duration: 3 months
- Start date: Between January and August 2025
- Eligibility: Candidates with a Ph.D., Master's degree, or equivalent experience are encouraged to apply.
- Hybrid: 3 days per week in the office, 2 days per week work from home
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 be working on problems related but not limited to generative models, inverse rendering, capture, and 3D analysis.
We are currently accepting applications for Research and Engineering internships in Spring, Summer, and Fall 2025. Candidates with a Ph.D., master's degrees, or equivalent experience are encouraged to apply. Outstanding undergraduates will also be considered. Working directly with a manager and a mentor, 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 across the globe.
Summary:
Adobe Researchers are actively working on novel computer vision and graphics problems based on classical paradigms as well as generative models. Our goal is to improve the content creation workflows by providing control, ease of use, and speed to our users. 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 and diffusion models.
- 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.
What to expect from the recruitment process:
Our selection process consists of two stages as follows:
- 60 minutes Technical Interview with the team.
- 45 minutes Soft-Skills Interview with the Hiring Manager.
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 [email protected] 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.
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