Overview As a Staff Applied Scientist at Adobe, you will advance large-scale multimodal generative AI for 3D, image, and video creation used across Adobe products. You will collaborate with researchers, engineers, and product teams to translate innovations into scalable workflows and production-ready solutions. Your work will push physically-based 3D content generation, scene understanding, and high-fidelity rendering to support next gen creative workflows for millions of users. This role offers impact on cutting-edge technology and the opportunity to shape enterprise AI in Digital Media.
Compensation / Benefits- comprehensive benefits programs
Responsibilities- Design and implement novel generative models and pipelines for mesh, texture, lighting, animation, and simulation in media & entertainment use cases
- Create agentic AI workflows to generate, edit, repair, annotate, evaluate, and refine 3D/4D content
- Build large-scale synthetic data pipelines involving game engines, 3D geometry, materials, lighting, and animation
- Develop advanced techniques for conditional generation and editing to improve controllability and visual quality
- Establish robust evaluation pipelines for quality, efficiency, robustness, and safety of generative models
- Translate research concepts into production-ready implementations using Python and modern ML frameworks
- Collaborate with cross-functional teams to deploy innovations in Adobe products
- Maintain and evolve evaluation metrics and benchmarks for model quality and reliability
- Support technology transfer to product teams and contribute to reproducible research workflows
Key requirements- Ph.D. or MS in Computer Science, Machine Learning, Computer Graphics or a related field with 8+ years of industry experience
- Extensive practical experience in large-scale generative AI training focused on image and video generation/editing
- Experience with diffusion models, transformers, or other state-of-the-art generative architectures
- Strong working knowledge of 3D content systems (meshes, materials, textures, scene structure, cameras, lighting, animation)
- Proficiency in Python, PyTorch, and ML infrastructure tools
- Excellent communication and cross-functional collaboration skills
- Experience with product teams on technology transfers
- Strong publication record in CS/AI/ML
- communication
- collaboration across teams
- problem-solving
- diffusion models
- transformers
- Python
