Research Scientist/Engineer Adobe
San Jose, CA, United States
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!
Adobe Research is looking for research scientists in Generative AI to join a world-class research team. We welcome outstanding candidates at all levels (new graduates, experienced, principal) in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, Computer Graphics, and Natural Language Processing. The related applications include image/video generation, image/video editing, image/video understanding, large language models, and multimodal foundation models.
What You’ll Do
· Conduct cutting-edge research and development in Generative AI
· Develop and transfer novel technologies to Adobe products
· Research and develop novel large-scale foundation models in Generative AI
· Collaborate with world-class researchers and engineers to bring research ideas to production
· Publish and present your work in world-class scientific venues in AI/ML fields
· Provide technical mentorship and guidance.
Required Qualifications
· Ph.D. in Computer Science, AI/ML or related fields
· Excellent publication record in Computer Science, AI/ML or related fields
· Excellent communication skills and a strong team player
What You’ll Bring
· Experience in state-of-the-art Generative AI technologies, such as diffusion models
· Strong publication record in image/video generation and image/video editing
· Experience on large-scale generative model training
· Experience of working with large-scale datasets
· Experience of working with product teams on technology transfers
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