Research Scientist – LTX Model Evaluation
As a Research Scientist in Model Evaluation, you will be the ultimate authority on model quality and utility for Lightricks' LTX Foundational Model group. You will design automated judges, reward models, evaluation datasets, and benchmarking ecosystems to provide the "ground truth" for pre-training and post-training teams, blending research rigor with product intuition to define and measure model performance.
Lightricks is an AI-first company dedicated to creating next-generation content creation technology for businesses, enterprises, and studios. Our mission is to bridge the gap between imagination and creation. At the core of our technology is LTX-2, an open-source generative video model, designed to deliver expressive, high-fidelity video with unmatched speed. This model powers both our own products and a growing ecosystem of partners through API integration.
We are globally recognized for pioneering consumer creativity with products like Facetune, a leading creative brand that introduced AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution to bring the future of expression to all.
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models. We are currently hiring Research Scientists to join our Model Evaluation team, which is part of the LTX Foundational Model group.
The Model Evaluation team serves as the central nervous system of the LTX Foundation Model group. Our role is not only to measure performance but also to define what "good" entails across a vast array of use cases. While we empower the next generation of creative tools, LTX also functions as a foundational engine for simulation pipelines, game engines, synthetic data generation, architectural rendering, and digital avatars. We act as the critical bridge between raw research and industrial-grade reliability, building the benchmarks that ensure our models are world-class for both artists and engineers.
As a Research Scientist in Model Evaluation, you will be the ultimate authority on model quality and utility. Your responsibilities will include designing automated judges, reward models, evaluation datasets, and benchmarking ecosystems that will shape the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Posted June 2, 2026