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Research Scientist - Audiovisual Understanding, Model Foundations

LTX · Jerusalem

CHECKED 5H AGO

Applied AIonsite
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At a glance

Highlights

  • Build open-world models that help AI understand, simulate and generate reality.
  • Improve video generation quality via large-scale video and audio understanding.
  • Curate petabyte-scale datasets powering LTX Studio video platform.

What they offer

  • Daily door-to-door shuttles, Car-to-go subscriptions, free parking and train-station pickups
  • 2 chef-led on-site restaurants by Machneyuda Group plus daily fresh bakery
  • Cutting-edge tools, workshops, learning platforms and AI training opportunities

Ideal candidate

A curious builder and researcher passionate about world models and generative video who thrives on experimentation, deep system problem-solving and collaborative iteration.

Requirements

  • Experience training, fine-tuning, or post-training large-scale VLLMs or multimodal foundation models
  • Strong software engineering skills, proficient in Jax or PyTorch
  • Ability to develop and implement computer vision models for data filtering and evaluation
  • Understanding of relevant topics in statistics, clustering
  • Enjoys delving into system implementations to enhance performance and maintainability

Lab profile

About LTX

Building open world models to understand, simulate and generate video and physical reality.

What they build

  • Open multimodal video models
  • World simulation models
  • AI creative tools

Known for

  • Open multimodal modeling
  • Audiovisual understanding
  • Accessible deployable AI
More about LTX →
Apply on the lab’s site ↗