21 день назад
TLM (Generative Modeling)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
TLM (Generative Modeling): Defining and advancing foundational research into world models and generative interactive video with an accent on temporal coherence, causal reasoning, long-horizon prediction, and user-intent alignment. Focus on designing novel architectures and training frameworks, leading research from open hypotheses to prototypes and publications, and mentoring a high-output research group.
Location: Palo Alto, London, or Zurich
Company
is an AI lab developing general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons.
What you will do
- Define and drive original research into temporal coherence, causal reasoning, long-horizon prediction, and user-intent alignment in world models.
- Design novel architectures, learning objectives, and training frameworks beyond diffusion and transformer paradigms.
- Build and mentor a small research group, guiding projects from hypotheses through experimental validation and prototype demonstrations.
- Translate foundational research breakthroughs into stable prototypes in collaboration with engineering.
- Publish research at venues such as NeurIPS, ICML, and ICLR, and engage with the broader research community.
Requirements
- Staff-level or senior ML research experience with a strong publication record.
- Expertise in generative modeling, video synthesis, multimodal learning, or adjacent areas.
- First-principles approach to defining research problems and building minimal systems to validate ideas.
- Experience leading or mentoring a small research group and taking projects from open questions to publication or deployment.
- Ability to work autonomously in a focused research environment with close engineering collaboration.
Culture & Benefits
- Work within a focused, autonomous AI research lab.
- Collaborate with researchers and engineers from leading AI and autonomous-systems organizations.
- Help establish the scientific foundation of a new medium for AI perception and interaction.
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