3 дня назад
Researcher (Generative Video AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Researcher (Generative Video AI): Developing and evaluating multimodal video diffusion models for real-time video products with an accent on visual quality, temporal consistency, identity preservation, and scalable deployment. Focus on training generative models, designing research evaluations, optimizing real-time inference, and translating experiments into production systems.
Location: Hybrid in Tel Aviv-Yafo, Tel Aviv District, Israel
Company
develops generative AI technology for photorealistic digital presenters, AI assistants, and interactive video experiences delivered through a studio, API, and plug-ins.
What you will do
- Research, develop, and evaluate generative AI models for video generation.
- Design experiments and evaluation methods for visual quality, temporal consistency, identity preservation, and performance.
- Explore, validate, and implement innovative research ideas.
- Own the lifecycle from research and experimentation through production deployment.
- Build reliable video-generation models and systems that operate at scale and in real time.
- Collaborate with research, engineering, and product teams.
Requirements
- M.Sc., Ph.D., or equivalent industry experience.
- Strong foundation in mathematics, image processing, and computer vision.
- Research track record in generative modeling, computer vision, or a related field.
- Strong programming and software design skills.
- Hands-on experience training video diffusion models.
- Deep understanding of modern generative-model architectures and training methods.
Nice to have
- Experience with multimodal models.
- Experience optimizing model inference.
- Experience training large-scale models on cloud infrastructure.
Culture & Benefits
- Work within a small, fast-moving, high-impact research team.
- Contribute to cutting-edge video-generation technology and products used at global scale.
- Own significant research and engineering challenges in real-time video generation.
- Collaborate across research, engineering, and product disciplines.
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