2026 Intern - Research Scientist/Engineer @ Adobe
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Job Details
About Adobe
Changing the world through digital experiences is what Adobe is all about. We empower emerging artists to global brands with tools to design and deliver exceptional digital experiences.
The Opportunity
Adobe Researchers develop next generation advanced technologies and user experiences. As a 2026 Intern - Research Scientist/Engineer you will work on research problems that integrate with Adobe’s products, with opportunities for academic publications.
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
- Pursue a research problem linked to Adobe products.
- Develop new algorithms, run experiments, and produce prototypes.
- Document and present your work verbally and in writing.
What You Will Need
- Current PhD or master's student in computer science or related field (exceptional undergraduates considered).
- Strong research skills and background in your subject area.
- Excellent communication skills and teamwork experience.
- A passion for solving real-world problems with innovative Machine Learning algorithms.
Compensation & Notices
The U.S. pay range for this role is $45.00 to $61.00 hourly, varying by geographic market. Specific alerts for California, Colorado, and Massachusetts apply as per local laws.
Equal Opportunity & Accessibility
Adobe is proud to be an Equal Employment Opportunity employer committed to diversity and accessibility. For accommodations, please contact accommodations@adobe.com or call (408) 536-3015.
Key skills/competency
- Research
- Machine Learning
- Algorithms
- Computer Science
- Data
- Prototype
- Communication
- Teamwork
- Publication
- Innovation
How to Get Hired at Adobe
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to highlight research and ML skills.
- Showcase your projects: List relevant algorithms and experiments.
- Network: Connect with Adobe employees on LinkedIn.
- Prepare for interviews: Practice technical and research questions.