Research Scientist, Professional Creative Workflows

Role Overview

• 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.

Requirements

• 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 extend modern research code.
• Ability to reason about both research quality and workflow quality, including controllability, iteration speed, editability, consistency, reliability, and integration into existing creative processes.
• Strong communication skills, with the ability to explain research ideas clearly to both research and product-oriented collaborators.
• Evidence of creative technical judgment: the ability to combine ideas from different fields into new research directions rather than only incrementally improving existing systems.

Tech Stack

• Python
• PyTorch

Benefits

• Equal Employment Opportunity