Research Scientist - Audiovisual Understanding, Model Foundations
LTX · Jerusalem
CHECKED 5H AGO
Applied AIonsite
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