Lightricks Ltd.
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. Team & role 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. What you will be doing 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. Your skills and experience 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. 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. 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. Apply for 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. Team & role 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. What you will be doing 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. Your skills and experience 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. 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. 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. Apply for Research Scientist - Audiovisual Understanding, Model Foundations
Lightricks Ltd.
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 Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team. As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate. What you will be doing Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models. Fine-tune and control VLLMs for video and audio understanding. Design and iterate on quality evaluation metrics and frameworks. Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps. Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality. Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement. Your skills and experience Master's degree or equivalent practical experience in computer vision or generative AI Experience with post-training techniques for generative or multimodal models. Strong understanding of evaluation methodology, quality metrics, and benchmark design for generative AI. Solid software engineering skills and comfort working with complex ML training infrastructure.Understanding of relevant topics in statistics, experimental design, and perceptual quality assessment. Ability to translate subjective quality assessments into measurable, actionable model improvements. Enjoys iterative, detail-oriented work and takes pride in systematically improving model outputs. Loves diving into the data, curating, filtering, and specializing it for the teams' tasks. 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. Apply for Research Scientist - LTX Model Quality Our headquarters are a one-of-a-kind indoor-outdoor office space that features beautiful ponds, gardens, a gym, restaurant, outdoor meeting areas, and most importantly, great people. For those living outside of the city, don't worry, transportation is on us. Our brilliant minds in R&D take our products to the next level. Our areas of expertise include computer vision, machine learning, rendering, deep learning, computational photography, and augmented reality. Our tech team also boasts a leading research team, allowing Lightricks to remain an industry leader.
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 Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team. As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate. What you will be doing Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models. Fine-tune and control VLLMs for video and audio understanding. Design and iterate on quality evaluation metrics and frameworks. Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps. Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality. Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement. Your skills and experience Master's degree or equivalent practical experience in computer vision or generative AI Experience with post-training techniques for generative or multimodal models. Strong understanding of evaluation methodology, quality metrics, and benchmark design for generative AI. Solid software engineering skills and comfort working with complex ML training infrastructure.Understanding of relevant topics in statistics, experimental design, and perceptual quality assessment. Ability to translate subjective quality assessments into measurable, actionable model improvements. Enjoys iterative, detail-oriented work and takes pride in systematically improving model outputs. Loves diving into the data, curating, filtering, and specializing it for the teams' tasks. 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. Apply for Research Scientist - LTX Model Quality Our headquarters are a one-of-a-kind indoor-outdoor office space that features beautiful ponds, gardens, a gym, restaurant, outdoor meeting areas, and most importantly, great people. For those living outside of the city, don't worry, transportation is on us. Our brilliant minds in R&D take our products to the next level. Our areas of expertise include computer vision, machine learning, rendering, deep learning, computational photography, and augmented reality. Our tech team also boasts a leading research team, allowing Lightricks to remain an industry leader.