The posting, in LTX's own words
archived Oct 11, 2026AI is moving fast. Most people are watching it happen. We’re building what comes next. At LTX, we’re creating cutting-edge open-world models that help AI understand, simulate, and generate the world around us. We’re laying the groundwork for AI systems that can model how reality looks, moves, and behaves. These world models will power the next generation of creative tools, physical AI, product simulation, and entirely new ways to build and interact with technology. We’re not just training models. We’re helping define a new category.
Why Join Us
Some opportunities let you work on AI. This one lets you shape its future. We’re a team of builders, researchers, and creatives who thrive on solving hard problems and pushing beyond what’s considered possible. Curiosity is encouraged. Experimentation is expected. Today we know that great ideas can come from anywhere. Every breakthrough we make reaches millions of creators and developers worldwide. This can only happen in an environment where you are encouraged to think, push boundaries, create, and explore. Real impact happens when we, as a team, are empowered to experiment, evolve, and elevate together.
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Team & role
The Core Generative AI team at Lightricks Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models. As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including , post-training, and control, alongside implementing classic and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.