2026 Intern - Research Scientist/Engineer

Location: San Jose, San Francisco, Seattle, College Park, Toronto, Cambridge, New York

Time Type: Full time

Job Description

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 Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs are actively published 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 fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.

Adobe Research focuses on the following research areas:

• Content Intelligence
• AI & Machine Learning
• Computer Graphics (2D&3D)
• Data Intelligence
• Computer Vision, Imaging & Video
• Audio
• Systems and Languages
• Natural Language Processing
• Human Computer Interaction
• AR, VR & 360 Photography
• Document Intelligence
• Intelligent Agents & Assistants

What you will do

Under the direction of an Adobe Research mentor, you will:

• Pursue a research problem to apply to Adobe’s products and with the possibility of academic publication
• Develop new algorithms, run experiments, and produce demonstration prototypes
• Document and present your work, both verbally and in writing

What you will need

• Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered)
• Sufficient research skills and background in your chosen subject area
• Strong communication skills and teamwork experience
• Passion for solving real-world problems with web-scale data using and inventing innovative Machine Learning algorithms.

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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 [email protected] or call (408) 536-3015.