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8 дней назад

AI Research Scientist (World Models)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Research Scientist (World Models): Developing next-generation world-model architectures for generative video with an accent on physical fidelity, controllability, and embodied reasoning. Focus on scaling studies, defining success metrics, and pushing frontier research toward open-source releases.

Location: Redwood City, CA (Hybrid)

Company

hirify.global is building unified general intelligence capable of generating, understanding, and operating within the physical world through multimodal vision-based models.

What you will do

  • Invent next-generation world-model architectures using diffusion, transformer, or autoregressive approaches.
  • Develop controllability mechanisms such as action and view conditioning to enable agent interaction.
  • Define and own key metrics including physical fidelity, long-horizon coherence, and action-following.
  • Conduct large-scale scaling studies to optimize compute, data, and architectural performance.
  • Publish research at top venues and contribute to open-source model releases.

Requirements

  • PhD or equivalent research record in ML, computer vision, robotics, or a related field.
  • Deep expertise in large-scale generative modeling, self-supervised representation learning, or model-based RL.
  • Strong proficiency in PyTorch and experience with large-scale training on multi-node clusters.
  • Proven research record with top-venue publications or widely used open-source releases.

Nice to have

  • Prior work on world models, neural simulation, or 4D scene representations.
  • Experience applying generative models to downstream embodied tasks like planning and control.
  • Enthusiasm for open-sourcing frontier models.

Culture & Benefits

  • Opportunity to work at the center of a core research thesis on embodied AI.
  • Broad, open-ended research environment rather than narrow, well-scoped tasks.
  • Direct impact on industry-leading generative video models.
  • Commitment to open-source contributions and frontier research.

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