Research Scientist - Audiovisual Understanding, Model Foundations

Lightricks is an AI-first company creating next generation content creation technology for businesses, enterprises, and studios, with a mission to bridge the gap between imagination and creation. At our core is LTX 2, an open source generative video model, built to deliver expressive, high fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world's most recognized creative brands, which helped introduce AI powered visual expression to hundreds of millions of users worldwide. We combine deep research, user first design, and end to end execution from concept to final render to bring the future of expression to all.

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 specialise 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.

• Fine tune and control VLLMs for video and audio understanding.
• Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behaviour and failure modes.
• Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
• Work within high performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility.
• Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

• 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.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

We're here to push the boundaries of what's possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

• We run daily door to door shuttles, offering Car to go subscriptions from several locations for several locations in central Israel, plus free parking and train station pickups.
• We're proud to have 2 chef led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.