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Utopai Studios

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About

Utopai Studios, formerly Cybever.ai, is a company dedicated to creating ambitious film and television projects. They leverage technological innovations to push the boundaries of storytelling, aiming for a new era of entertainment without limits. The company operates with a global team, connecting talent and creativity from around the world to produce their works, such as "Space Nation" and "Cortés." Their leadership team includes co-founders Cecilia Shen (CEO) and Jie Yang (CTO), along with other key personnel like Marco Weber (Partner & Co-CEO) and Kirk M. Petruccelli (Chief Creative Officer). Utopai Studios is pioneering technology to transform how films and TV are made.

Platform
Web
Task
media creation

Features

next-generation storytelling

global creative collaboration

ai-driven television development

ai-powered film production

Job Opportunities

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Utopai Studios

Research Intern, Video Generation

Utopai Studios is a company building on technological innovations to create ambitious film and television, ushering in a new era of storytelling without limits.

sciencehybridSunnyvale, USinternship

Education Requirements:

  • PhD Student in Computer Science, Artificial Intelligence, or a related field, or equivalent senior research experience

Experience Requirements:

  • Deep expertise in diffusion, transformer, and multimodal generation models (e.g., text-to-video, image-to-video, video-to-video)

  • Proficiency in PyTorch and distributed training frameworks

  • Research contributions demonstrated through publications in top AI conferences (e.g., NeurIPS, CVPR, ICCV, SIGGRAPH)

  • Familiarity with AI filmmaking tools and workflows (e.g., MidJourney, Runway, Wan, ComfyUI)

  • Interest in AI filmmaking or experience creating your own AI short films

Responsibilities:

  • Participant in training and fine-tuning of image and video generative models on clusters with hundreds to thousands of GPUs

  • Research and develop advanced training strategies, including continuous training, RL-based post-training for advanced capabilities(e.g., reasoning, controllability, consistency), and unified text-image-video Auto-regressive modeling

  • Design and optimize high-quality data pipelines to enable effective multimodal training with large-scale domain specific datasets

  • Build automated evaluation frameworks to assess fidelity, coherence, and adherence to input conditions

  • Collaborate with researchers, engineers, and creative teams to translate research breakthroughs into practical filmmaking production workflows

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