The Opportunity
Adobe Research is looking for brilliant minds who are excited about pushing the state of the art in research areas that impact Adobe’s products and future endeavors. Research and Engineering internships for Spring, Summer and Fall of 2022 are now open to applicants pursuing PhD and master's degrees (exceptional undergraduates will also be considered).
Working directly with one or more researchers, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work touch millions of screens across the globe.
Summary
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 actively publish 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:
- Data Science
- Machine Learning
- Computer Graphics (2D&3D)
- Document Intelligence
- Computer Vision
- Imaging and Video
- Audio
- Systems and Languages
- Natural Language Processing
- Large Scale Distributed Systems
- Multimedia Systems
- Human Computer Interaction
- AR, VR & 360 Photography
What you will do
Under the direction of an Adobe Research mentor, pursue a research problem with applicability 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 state of the art Machine Learning algorithms.