About the job
Seeking a Staff Applied Scientist to drive the development of advanced generative AI models for 3D content creation. Lead the design and implementation of novel pipelines and workflows, collaborating with cross-functional teams. Ideal for experienced researchers with a strong background in large-scale generative AI training and 3D content systems.
Responsibilities
Build novel generative models and pipelines to support mesh generation, physically based material generation and texture generation, scene reconstruction, lighting estimation, animation, and simulation for media & entertainment use cases as well as high-fidelity product imagery
Build agentic workflows that use AI systems to create, manipulate, repair, annotate, evaluate, and refine 3D and 4D content
Develop large-scale synthetic data pipelines that involve game and rendering engines, digital environments, 3D geometry, physically-based materials, lighting, animation, and simulation
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, Computer Graphics or a related field, with 8+ years industry experience
Extensive practical experience in large-scale generative AI training with a focus on image and video generation and editing
Experience with diffusion models, transformers, or other state-of-the-art generative architectures
Strong working knowledge of 3D content systems, including meshes, materials, textures, scene structure, cameras, lighting, coordinate systems, skeletal animation, and motion workflows
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
Experience on large-scale generative model training
Experience on synthetic data generation
Experience of working with large-scale datasets
Experience of working with product teams on technology transfers