Research Scientist, Professional Creative Workflows

🕒 il y a 3 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧬 Chercheur Scientifique

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Stability AI

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

📣 Marketing

🤖 Intelligence artificielle

Consulting • Marketing • Artificial Intelligence

Stability AI est une entreprise centrée sur le déblocage du potentiel humain grâce à la technologie de l'IA générative. Elle offre une suite de modèles ouverts croisant différentes modalités, telles que l'image, la vidéo, l'audio et le langage, incluant leur modèle puissant, Stable Diffusion 3. 5. Leurs modèles proposent une personnalisation avancée, des licences communautaires et des options de déploiement pour les développeurs, rendant l'IA avancée accessible à diverses applications.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Equal Employment Opportunity