AI Sound & Music Jobs

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: Integrated Designer Location: Shanghai, China Language: English and Mandarin About the role: We’re looking for an Integrated Designer who will use AI platforms to deliver high quality, high performing ads. You will have a team working with you and by nature of your expertise they will largely engage with you to resolve creative challenges they are coming up against and overcome the limitations of GenAI today.

You will build and prototype AI tools, enable regional teams, and connect Hasbro’s global AI mission to our Hong Kong and Asia operations. Spot friction in creative and product work and design solutions that speed up tools, workflows, and output. Qualifications / RequirementsBachelor's degree in Graphic Design, Fine Arts, 3D, Digital Design or equivalent experience5+ years’ experience in related industry Key SkillsEqual parts technical and creative: you build, automate, and prototype, with genuine design sense for play, story, and experience. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before.

With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale. If you thrive in fast-moving startup environments, enjoy experimenting with new ideas, and love seeing your work come to life in production then you’ll feel right at home. Hands-on experience with Large Multimodal Models and a strong foundation in generative (language) models. Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time, with low-latency.

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 roleAs a Staff 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 avatar-centric interactive video diffusion models. Develop methods for streaming infinitely long video sequences at real-time rates. , diffusion, GANs, VAEs) and computer vision background with relevant industry experience.

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. As part of the Data team, you’ll work with over a million hours of video and audio data. What we're looking for:A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture aloneExperience working on the data layer of Generative AI products, particularly involving images, video, or audioExcellent Python skills, with a strong focus on writing clean, maintainable, and well-tested codeNice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelinesWhy j

We are looking for a staff or lead-level Research Engineer, Data to architect and scale data engineering systems supporting model training for our advanced multimodal foundation models. What You’ll DoTake ownership of large-scale data pipeline architecture and implementation to support model training and research workflows for text, image, audio, and video datasetsPartner with research and engineering teams to curate, clean, and manage diverse, sensory-rich datasets for pre-training and mid-training of multimodal modelsDevelop strategies and tools for scalable data ingestion, labeling, filtering, augmentation, and storageEnsure data quality, reliability, and compliance, including managing privacy and ethical considerations throughout the data lifecycleOptimize data processing, transformation, and delivery for large-scale distributed training pipelinesPrototype and productionize new metho