Stability

1 week ago

Research Scientist, Professional Creative Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Join the Research team to advance generative AI for professional creative workflows spanning image, video, 3D, vector graphics, and design. You’ll conduct original research, develop new multimodal methods with an emphasis on controllability and editability, and publish at leading venues when appropriate. Translate findings into prototypes and experiments that can guide product direction, while collaborating closely with researchers, engineers, designers, and product teams.

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct original generative AI research for professional creative workflows across image, video, 3D, vector graphics, and design.
•Develop new methods that advance the state of the art while staying relevant to real creative and production workflows.
•Explore multimodal generative systems integrating multiple modalities with emphasis on controllability, editability, and reusable asset creation.
•Design datasets, benchmarks, and evaluation protocols focused on quality, editability, consistency, brand adherence, and production usefulness.
•Translate research insights into prototypes and experiments that inform product direction, collaborating with cross-functional teams.

Key Requirements

•Strong academic research track record in computer vision, computer graphics, machine learning, or generative modeling.
•PhD (or equivalent research experience) in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field.
•Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes.
•Experience with generative and multimodal modeling (e.g., diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing).
•Strong programming skills in Python and PyTorch, with ability to implement and extend modern research code.

Experience:Generative AIMultimodalComputer visionComputer graphicsCreative tooling

Education:PhD / Doctorate in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or closely related discipline

Skills:CommunicationCollaborationCreative technical judgmentTechnical depthIntellectual breadth

Languages:English

Tech Stack:PythonPyTorchDiffusion modelsTransformersGenerative modelingMultimodal modeling3D generationNeural renderingInverse renderingVideo generationImage editingDifferentiable renderingVector graphicsDesign systems

Company Brief

Stability

Develops open-source generative AI models and tools, including image synthesis (Stable Diffusion) and multimodal foundations, enabling creators and businesses to build AI-driven media and applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2020

Website LinkedIn

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Stability

1 week ago

Research Scientist, Professional Creative Workflows

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Conduct original generative AI research for professional creative workflows across image, video, 3D, vector graphics, and design.
•Develop new methods that advance the state of the art while staying relevant to real creative and production workflows.
•Explore multimodal generative systems integrating multiple modalities with emphasis on controllability, editability, and reusable asset creation.
•Design datasets, benchmarks, and evaluation protocols focused on quality, editability, consistency, brand adherence, and production usefulness.
•Translate research insights into prototypes and experiments that inform product direction, collaborating with cross-functional teams.

Key Requirements

•Strong academic research track record in computer vision, computer graphics, machine learning, or generative modeling.
•PhD (or equivalent research experience) in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field.
•Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes.
•Experience with generative and multimodal modeling (e.g., diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing).
•Strong programming skills in Python and PyTorch, with ability to implement and extend modern research code.

Experience:Generative AIMultimodalComputer visionComputer graphicsCreative tooling

Education:PhD / Doctorate in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or closely related discipline

Skills:CommunicationCollaborationCreative technical judgmentTechnical depthIntellectual breadth

Languages:English

Company Brief

Stability

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2020

Website LinkedIn