Research Scientist - Intern Position - LTX Video

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.

Why Join Us

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.

The role

Following the success of LTX-2, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-2 Core team.

At Lightricks, we’ve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-2 driving our flagship product, LTX, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.

This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.

What you will be doing

• Pre-train and fine-tune video and image generative models to pursue state-of-the-art results.
• Publish papers and open-source models to benefit the research community and advance the field.
• Design and implement machine learning models for text-to-video generation.
• Collaborate with data engineers to curate and preprocess text and video data.
• Optimize models for high performance, ensuring efficiency in training and inference phases.
• Build new controls and capabilities into generative text-to-video models.
• Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
• Work closely with product teams to integrate AI models into applications and services.
• Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.
  
  

• Currently pursuing a Master's or PhD degree in the field of Generative AI
• Track record of coming up with new ideas or improving upon existing ideas in generative AI, demonstrated by accomplishments such as first author publications or projects.
• Excellence in engineering as well as research with strong programming skills in Python, and deep familiarity with machine learning frameworks.
• Experience in training large diffusion transformer models from scratch.
• Proven track record of handling large-scale datasets to train neural networks effectively.
  
  

• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations in central, 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.