AI Video Generation Jobs

We're looking for an experienced Researcher with engineering skills who can work on large-scale image and video models training experiments, with experience training image models at scale. What you'll doTrain diffusion models for image and video generation on large GPU clusters. Continuously improve model quality and reliability through data, model architecture, training pipeline, structuring experiments, and eval design. Experience in profiling and debugging large distributed training.

Екосистема продуктів HOLYWATER включає:→ My Drama — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші→ My Passion — цифрову бібліотеку книг №1 у понад 10 країнах світу→ My Muse — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу___________________________________________________________________________HOLYWATER TECH сьогодні — це:понад 100+ млн завантажень застосунківстратегічне партнерство з FOX Entertainmentх2 рази — щорічне зростання компанії за 2024-2025 роки30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovieпонад 100 млн годин переглянутого та прочитаного користувачами контентупровідні позиції у своїх нішах на ринках США та Європи___________________________________________________________________________Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — л

As a Research Engineer on our Physical AI team, you will lead pre-training and post-training on action-conditioned world models, working hand-in-hand with industrial partners to close the loop between generative AI and physical systems. Responsibilities:Design, implement, and run pre-training and post-training pipelines for action-conditioned world models and vision-language-action (VLA) modelsDevelop and refine training methodologies, including fine-tuning, reinforcement learning, and large-scale multimodal learningDesign and generate training and evaluation datasets from simulation, including environment setup, domain randomization, and sim-to-real transfer strategiesBuild distributed training infrastructure using PyTorch, FSDP, and DeepSpeedWork with multimodal data pipelines involving video, sensory inputs, and action sequencesEvaluate model performance using both benchmark datasets

Leading brands—including Applovin, Alibaba, HubSpot, Binance, NewsBreak, and Zumper—use Creatify to produce personalized, high-performing video ads in minutes. In this role, you'll work closely with our Chief AI Scientist and other researchers to develop and shape Creatify's industry-leading AI video ad models. Develop and implement LLM and multimodal models, experimenting with novel algorithms and techniques. Collaborate with cross-functional teams to integrate AI solutions into our products and services.

Join Our Team as a Technical Delivery Lead at Beyond SportsAre you excited about machine learning, technical leadership, and building the systems powering the future of sports entertainment? What Your Day Will Look LikeAs a Technical Delivery Lead, you’ll sit at the center of engineering execution, technical strategy, and machine learning innovation. You’ll guide engineering squads delivering complex AI-driven systems while contributing directly to architecture, Proof of Concepts, and high-complexity technical challenges. You’ll work closely with Machine Learning Engineers, Tech Leads, Technical Architects, Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences.

As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the RoleMirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production. ResponsibilitiesTrain and optimize large-scale video and multimodal modelsImprove efficiency across training and inference (memory, latency, cost)Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generationBuild and maintain distributed training sy

As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the RoleMirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production. ResponsibilitiesTrain and optimize large-scale video and multimodal modelsImprove efficiency across training and inference (memory, latency, cost)Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generationBuild and maintain distributed training sy

As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the RoleMirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production. ResponsibilitiesTrain and optimize large-scale video and multimodal modelsImprove efficiency across training and inference (memory, latency, cost)Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generationBuild and maintain distributed training sy

As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the RoleMirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production. ResponsibilitiesTrain and optimize large-scale video and multimodal modelsImprove efficiency across training and inference (memory, latency, cost)Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generationBuild and maintain distributed training sy

At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. 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.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. About the role As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases.

At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. We specialize 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.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills.

Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Integrated Designer with Motion skills Location: Remote (Colombia) Language: Proficiency in English is required as we are a global business About the role: GenAI technology is reshaping creative production, offering creatives new tools to ideate, adapt, and deliver content faster and smarter.

Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior GenAI Integrated Designer Location: Remote until further notice About the role: GenAI technology is reshaping creative production, offering creatives new tools to ideate, adapt, and deliver content faster and smarter.

Join a fast-growing, #1 product in its nicheDirect impact on growth and creative strategy — your ideas won’t sit on the shelfHigh level of autonomy and ownershipWork in a strong team of A-players who move fast and think bigYour responsibilities:You will play a key role in shaping how Mindly communicates with users through creative. Together with the team, you will:Create high-performing ad creatives for Meta, Google, and TikTokGenerate and test hypotheses to improve creative performanceResearch competitors and market trends, turning insights into actionable ideasExperiment with new formats, concepts, and design approachesYour skills:2+ years of experience as a Marketing Designer / Creative DesignerExperience creating digital advertising creativesStrong skills in graphic and motion design toolsConfident use of AI tools and awareness of industry trendsPortfolio with real projects and ideas

In the role of Creative Technologist, you will spearhead the transformation of HTML5 display production by implementing AI-enhanced workflows and automated, scalable systems. Collaborating with creative, strategy, media, and development teams, you will convert campaign goals into efficient production frameworks. Manage the process of creating and optimising dynamic creative content for large-scale campaigns, using platforms like Flashtalking, Celtra, and Google Creative Studio. Work closely with design, development, and media teams to ensure a seamless production process, providing clear guidance and feedback to ensure the highest quality outputs.