About the job
Exciting opportunity for an Applied Scientist to drive innovation in large-scale generative AI for image and video synthesis. Collaborate with top researchers and engineers, develop advanced training models, and shape the future of digital experiences at Adobe. Join us to make a global impact with cutting-edge AI solutions.
Responsibilities
· Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
· Develop, carry out, and carefully assess sophisticated techniques for conditional generation and editing. Emphasize improving instruction compliance, controllability, and visual clarity in pre-trained image and video models.
· Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications coordinated within Adobe products.
· Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.
· Translate research concepts and published work into production-ready implementations using Python and modern machine learning frameworks.
Qualifications
Minimum
· Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.
· Extensive practical experience in large-scale generative AI training concentrating on image and video generation and editing.
· Familiarity with diffusion models, transformers, or other brand new generative architectures.
· Excellent communication skills and ability to collaborate across cross-functional teams.
· Strong coding and prototyping ability in Python, PyTorch, and ML infrastructure tools.
· Working with product teams on technology transfers.
· Strong history of publishing in Computer Science, AI/ML, or related areas.
Preferred
No preferred qualifications listed.