Research Scientist - LTX Model Applications

Who We Are Lightricks is a forward-thinking AI-driven company dedicated to developing cutting-edge content creation technology for various stakeholders, including businesses, enterprises, and studios. Our mission is to seamlessly connect the realms of imagination and creation. At the heart of our innovation is LTX-2, an advanced open-source generative video …

About Us Lightricks is an innovative AI-driven company, dedicated to developing state-of-the-art content creation technologies for businesses, enterprises, and studios. Our mission is to seamlessly connect creativity with technology. At the heart of our efforts is LTX-2, an open-source generative video model designed to produce expressive, high-fidelity videos at unparalleled speed. LTX-2 powers our proprietary products and a rapidly expanding network of partner integrations via API. Globally recognized for our pioneering work in consumer creativity, our flagship product, Facetune, stands as one of the most renowned creative brands, empowering hundreds of millions of users globally with AI-enhanced visual expressions. We blend deep research, user-centric design, and comprehensive execution from initial concept to final product, striving to redefine the future of creative expression. The Position In response to the success of LTX-2, our popular open-source text-to-audio+video model, we are intensifying our research efforts to innovate advanced audio+video generation models. We are seeking talented Research Scientists to join our LTX-Applications team. As a Research Scientist within the LTX Model Quality team, you will be instrumental in enhancing the quality, controllability, and alignment of our video generation models. This position emphasizes the critical post-training phase, where you will develop and apply techniques such as preference optimization, reward modeling, and human feedback integration to fine-tune model outputs. You will establish robust evaluation frameworks, define quality metrics, and implement systematic methodologies to detect and resolve model shortcomings. Your contributions will directly influence the quality of videos we produce. Your Responsibilities Develop and execute post-training pipelines, including Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and other optimization techniques tailored for video generation models. Fine-tune and manage Very Large Language Models (VLLMs) for comprehensive video and audio understanding. Design and refine evaluation metrics and frameworks to assess quality. Conduct thorough analyses of failure modes and devise targeted strategies to close quality gaps. Curate and build high-quality preference datasets and evaluation benchmarks capturing the intricate dimensions of video generation quality. Collaborate closely with fellow researchers to maintain effective feedback loops between human evaluations and model enhancements. Your Qualifications A Master's degree or equivalent practical experience in computer vision or generative AI. Proven experience with post-training techniques applicable to generative or multimodal models. Solid grasp of evaluation methodologies, quality metrics, and benchmark development for generative AI. Strong analytical skills and a problem-solving mindset. Exceptional collaboration and communication abilities.

Lightricks is an innovative AI-driven company at the forefront of developing next-generation content creation technologies for businesses, enterprises, and studios. Our mission is to seamlessly connect imagination with creation. Central to our operations is LTX-2, an open-source generative video model designed to produce high-quality, expressive video content at unparalleled speeds. This model not only powers our products but also fuels a growing ecosystem of partners through API integrations. Globally recognized for revolutionizing consumer creativity, Lightricks offers products like Facetune—one of the world’s most famous creative brands—that brought AI-powered visual expression to millions of users. Our approach combines rigorous research, user-centric design, and comprehensive execution from concept to final output, driving the future of expression for all.

Join Our Innovative Team Lightricks is a pioneering AI-driven technology company focused on revolutionizing content creation for businesses, enterprises, and creative studios. Our mission is to seamlessly transform imagination into reality through cutting-edge technology. At the heart of our operations is LTX-2, an open-source generative video model designed to produce high-quality, expressive video content at extraordinary speeds. This remarkable model not only fuels our proprietary offerings but also supports a thriving ecosystem of partners via API integrations. Globally recognized for our consumer creativity tools, such as Facetune, one of the most esteemed creative brands worldwide, we have empowered hundreds of millions of users with AI-enhanced visual expression. Our approach integrates rigorous research, user-centric design, and comprehensive execution from concept to final output, paving the way for the future of creativity. Your Role As we build on the success of LTX-2, our widely embraced open-source text-to-audio and video model, we are seeking talented Research Scientists to join our LTX-2 Core team. This position is pivotal in developing state-of-the-art audio and video generation models, driving innovation in the field. At Lightricks, we lead advancements in text-to-image and text-to-audio/video generation, with LTX-2 powering our flagship product, LTX Studio, and making significant strides within the research and open-source communities, including integrations with prominent platforms like ComfyUI and Diffusers. This role will emphasize innovating model architecture and pre-training algorithms that will define the future of our foundational generative AI models. Key Responsibilities Pre-train and fine-tune video, audio, and image generative models to achieve cutting-edge outcomes. Publish research papers and open-source models to enhance the academic community and propel advancements in the field. Design and implement machine learning frameworks for text-to-audio and text-to-video generation. Collaborate with data engineers to curate and preprocess diverse text and video datasets. Optimize model performance to ensure efficient training and inference processes. Develop new functionalities and controls within generative text-to-audio and text-to-video models. Stay abreast of the latest trends and developments in Generative AI, particularly in image, video, and audio technologies. Work closely with product teams to seamlessly integrate AI models into applications and services. Conduct experiments and prototype innovative concepts to enhance the capabilities of our AI solutions.

Join the dynamic LTX Studio team as a Creative Designer, where your creative flair will shape the visual narrative of our products. In this pivotal role, you will craft stunning visual and motion graphics that enhance our product experience. Your work will encompass designing in-product creative elements like banners and pop-ups, along with supporting product demonstrations, partner presentations, and comprehensive product storytelling. Your expertise will be instrumental in defining the aesthetic, style, and visual identity of LTX Studio's product assets, ensuring that every piece is polished, coherent, and resonates with the overall user experience. This hands-on position is ideal for a designer with an eye for detail, exceptional motion skills, and the ability to translate product requirements into captivating visuals. You will collaborate closely with the Product Design, Brand, and Product teams to ensure a cohesive and engaging user experience across all platforms.

Who We AreLightricks is an innovative AI-focused company dedicated to developing state-of-the-art content creation technologies designed for businesses and studios. Our mission is to seamlessly connect imagination with creation. At the heart of our operations lies LTX-2, an open-source generative video model engineered to deliver stunning, high-fidelity video output at unparalleled speeds. It not only fuels our proprietary products but also supports a diverse ecosystem of partners via API integrations.Globally recognized for revolutionizing consumer creativity, our flagship product, Facetune, has introduced AI-driven visual expression to countless users around the world. We pride ourselves on blending rigorous research, user-centric design, and comprehensive execution from concept to completion, making advanced expression accessible to everyone.About the RoleIn your role as a Large Scale Training Engineer, you will be instrumental in optimizing the training throughput of our internal framework, empowering researchers to explore and develop novel model concepts. This position requires exceptional engineering capabilities for designing, implementing, and refining cutting-edge AI models, alongside a strong foundation in writing robust machine learning code and a profound understanding of supercomputer performance. Your skills in performance optimization, expertise in distributed systems, and capability to troubleshoot will be vital, as our framework executes extensive computations across numerous virtual machines.This opportunity is tailored for individuals who possess not only technical prowess but also a fervent passion for advancing AI and machine learning through groundbreaking engineering and collaborative research efforts.Key ResponsibilitiesProfile and streamline the training process to ensure optimal efficiency and effectiveness, including the enhancement of multimodal data pipelines and data storage techniques.Create high-performance TPU/GPU/CPU kernels and incorporate advanced methodologies into our training framework to maximize hardware utilization.Leverage your knowledge of hardware features to implement significant optimizations and provide guidance on hardware/software co-designs.Collaborate with researchers to develop model architectures that promote efficient training and inference.Design, maintain, and evolve a high-quality, shared codebase, emphasizing correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance needs.

Join The New York Times' International Desk as a dynamic Reporter-Researcher in Jerusalem, where you will play a pivotal role in supporting our award-winning team. Your responsibilities will include organizing interviews, conducting in-depth research on various topics, and tracking crucial news stories. Collaborate closely with correspondents and the bureau chief to enhance our coverage of politics, security, culture, and more. This position offers a unique opportunity to contribute to impactful journalism while working in a fast-paced, collaborative environment.

Role Overview Speechify is looking for an iOS Core Product Software Engineer to join the team in Jerusalem, Israel. This role focuses on building and improving mobile applications that help users read more easily and effectively. The position sits at the heart of our core product work. What You Will Do Develop and maintain iOS features for Speechify’s main product Collaborate with colleagues in Jerusalem to deliver updates and new capabilities Apply iOS development experience to solve real user needs and improve the reading experience Location This position is based in Jerusalem, Israel.

About Us Lightricks is an innovative AI-driven company dedicated to transforming imagination into reality. Our flagship technology, LTX-2, is an open-source generative video model designed to produce expressive, high-fidelity video content at remarkable speeds. This technology not only powers our acclaimed products but also supports a growing network of partners through API integrations. Our most popular products, including Facetune and LTX Studio, are utilized by hundreds of millions of users globally. We pride ourselves on merging deep research with user-centric design and comprehensive execution to shape the future of creative expression. Your Role As a Senior ML Software Engineer focused on low-level and CUDA optimizations, you will be instrumental in designing, enhancing, and scaling Lightricks' machine learning inference systems. You will tackle complex technical challenges at the intersection of GPU acceleration, systems architecture, and machine learning deployment. Your expertise in CUDA, C/C++, and performance tuning will be vital for improving runtime efficiency across diverse computing environments. You will collaborate with designers, researchers, and backend engineers to create production-grade ML pipelines optimized for latency, throughput, and memory usage, directly contributing to the infrastructure behind Lightricks' next-generation AI products. This position is perfect for an engineer with a strong systems-level mindset, extensive knowledge of GPU internals, and a desire to drive performance and efficiency boundaries in machine learning infrastructure.