Research Scientist

Who we are

Lightricks is a pioneer in innovative technology that bridges the gap between imagination and creation. We are an AI-first company with a mission to build innovative tools for content creation. Our content creation apps – Facetune, Videoleap, and Photoleap – offer endless possibilities and inspiration, while our brand platform, Popular Pays, offers brands the opportunity to scale their marketing efforts by partnering with creators. Our most recent product, LTX Studio, is an all-in-one AI digital storytelling platform that gives users complete control over their creations. We aim to enable both content creators and brands to produce engaging, top-performing content, based on a combination of groundbreaking computational graphic research and generative AI features.

The role

We are ramping up our efforts to create cutting-edge video generation models with loads of compute resources and are hiring a Research Scientist to join our Core GenAI team.

At Lightricks, we’ve been pushing the envelope in text-to-image and text-to-video, developing original architectures that have been crucial in training our foundational models.

This role focuses on developing and pre-training state-of-the-art generative video models that serve as foundational technologies for our products, mainly LTX Studio.

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 image 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 field 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.

Your skills and experience

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 foundational models from scratch.

Proven track record of handling large-scale datasets to train neural networks effectively.