Research Scientist - LTX Model Applications at Lightricks

Jerusalem, Jerusalem District, Israel -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Video Generation, Image Generation, Audio Generation, Machine Learning Model Design, Prototyping, Code Open-Sourcing, Research Workflow Optimization, Efficient Coding, Mentoring, Multimodal Applications, Generative Video Technology

Industry

Software Development

Description

Who we are 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 role We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools. What you will be doing Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases. Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications. Conduct experiments, prototype concepts, and validate ideas to expand generative video technology. Collaborate with engineers, designers, and product managers to translate research into impactful product features. Regularly open-source code, models, and research insights, contributing to the academic and open-source communities. Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products. Write high-quality, efficient code and maintain best practices in research workflows. Mentor other researchers and lead collaborative projects. Your skills and experience M.Sc. in computer science or a related field; Ph.D. preferred. Strong background in generative AI, with familiarity in video and image generation and processing. Demonstrated ability to originate ideas and drive projects from concept to implementation. Familiarity with the latest research in generative AI and motivation to stay at the cutting edge. Independent, proactive, and collaborative, with strong communication skills. Preferred qualifications Publications in relevant fields. Experience writing production-grade algorithms with a focus on efficiency and runtime. Familiarity with audio generation. We got you covered! 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. We offer Car-to-go subscriptions and run daily door-to-door shuttles from 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.

Responsibilities

The researcher will advance and extend LTX-Video model capabilities by designing new controls, features, and use cases, and implementing machine learning models for video, image, and audio generation. They will also conduct experiments, prototype concepts, collaborate on product translation, and regularly contribute code and insights to the open-source community.