Sydney, AU-Australia
Posted 8 months ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. Team Introduction Welcome to Video Arch Intelligent Immersive Audio Team! We are dedicated to pushing the boundaries of immersive audio technology and standardization. In addition to supporting our company’s requirements including short video, live-streaming, content creation tools and also VR/AR experiences, we also stay up-to-date with the latest research in the industry and participate in audio Standards Developing Organizations(SDO) such as MPEG, 3GPP, and IETF, etc. As part of our commitment to innovation, we proactively conduct R&D using Machine Learning and NN models(especially generative models) for immersive audio technology. If you’re looking to work with a team that values creativity, innovation, and collaboration, we’d love to hear from you. Please join us to reshape the audio world together. Responsibilities – Develop a high compression rate full-band AI audio codec algorithm system based on generative frameworks. Research and apply model architectures such as VQ-VAE, GAN, and Diffusion to audio feature representations and high-quality AI audio codec systems. – Follow and research the next-generation audio codec system for machines. Build underlying technologies for machine-oriented intelligent audio representation and interaction. – Participate in the development of domestic and foreign audio standards and supporting systems, including domestic UWA, AVS standard organizations, and international 3GPP SA4, MPEG-IWG6, IETF, MPAI, etc. Minimum Qualifications – PhD in related majors such as computer science, electronic information, communication engineering, information and systems, and artificial intelligence, with a good academic research background. – Have the ability to model digital signals and artificial intelligence/deep learning algorithms and validate the systems. Those who have had complete experience in participating in international standard formulation are preferred. Preferred Qualifications – Good technical vision, communication, and persuasive abilities. Able to effectively communicate technical concepts in English. – Have influential works published in related international conferences or mainstream journals such as machine learning, artificial intelligence, and multimedia processing. |
Job Features
| Job Category | AI Engineering |
| Base Salary | $150,000 - $300,000 |
| Recruiter | nina.li@ocbridge.ai |
