Research Scientist, Professional Creative Workflows

Research Scientist, Professional Creative Workflows About the Role We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows , spanning image, video, 3D, vector graphics, and design. This is a general research role with room for academic publication, long-horizon exploration, and technically ambitious work, while remaining grounded in real projects with meaningful product impact. The ideal candidate can move fluidly between frontier research, rigorous experimentation, and prototype systems that inform how professional creators work with generative AI. We are looking for a broad, technically deep researcher who can combine ideas across fields and modalities, connecting concepts from areas such as computer vision, graphics, generative modeling, and design to address complex creative workflows. You will work on research that enables creators and enterprises to generate, edit, structure, refine, and reuse visual assets across modalities, supporting workflows in which different forms of media and design intent work together rather than as isolated generation tasks. Responsibilities • Conduct original research in generative AI for professional creative workflows across image, video, 3D, vector graphics, and design. • Develop new methods that advance the state of the art while remaining relevant to real creative and production workflows. • Publish research at leading academic venues where appropriate, while also contributing to high-impact internal projects. • Explore multimodal generative systems that integrate image, video, 3D, vector graphics, and design, with an emphasis on controllability, editability, and reusable asset creation. • Translate research insights into prototypes, experiments, and model capabilities that can inform product direction. • Work with researchers, engineers, designers, and product teams to identify important research problems with meaningful downstream impact. • Design datasets, benchmarks, and evaluation protocols for professional workflows where quality, editability, consistency, brand adherence, and production usefulness matter. • Stay at the frontier of generative media research and identify opportunities to combine ideas across computer graphics, vision, language, video, and creative tooling. • Contribute to a research culture that values technical depth, intellectual breadth, publication quality, and practical relevance. Qualifications • Strong academic research track record in computer vision, computer graphics, machine learning, generative modeling, computational imaging, visual computing, or a related field. • PhD or equivalent research experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related discipline. • Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes. • Experience in generative and multimodal modeling, including areas such as diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing, controllable generation, or design automation. • Broad technical background across several of the following areas: • Generative image models • Video generation or video editing • 3D asset generation, reconstruction, neural rendering, or geometry processing • Differentiable rendering, inverse rendering, materials, lighting, or relighting • Vector graphics, layout, typography, or design systems • Multimodal representation learning • Professional media, VFX, games, e-commerce, design, or creative tooling • Strong programming skills in Python and PyTorch, with the ability to implement, adapt, and ex