About the job
Exciting opportunity for an Applied Scientist to drive innovation in generative AI for image and video synthesis at Adobe Firefly Foundry. Collaborate with top researchers and engineers to develop advanced models, shape creative workflows, and impact millions of users worldwide. Join us to shape the future of digital experiences with cutting-edge technology.
Responsibilities
Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.
Develop, implement, and rigorously evaluate advanced techniques for conditional generation and editing — with emphasis on improving instruction compliance, controllability, and visual quality in pre-trained models.
Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications 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 ML frameworks.
Qualifications
Minimum
Ph.D. or MS in Computer Science, Machine Learning, or a related field, with 4+ years industry experience.
Extensive practical experience in large-scale generative AI training with a focus on image and video generation and editing.
Familiarity with diffusion models, transformers, or other state-of-the-art generative architectures.
Strong coding and prototyping skills in Python, PyTorch, and ML infrastructure tools.
Excellent communication skills and ability to collaborate across cross-functional teams.
Experience working with product teams on technology transfers.
Strong publication record in Computer Science, AI/ML, or related fields.
Preferred
No preferred qualifications listed.