AI Audio Codec Algorithm and Standardization Engineer
Location: Sydney
Employment Type: Regular
Job Code: A124348
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 build high‑quality AI audio codec systems.
Follow and research the next‑generation audio codec systems for machines, building 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, and international 3GPP SA4, MPEG‑IWG6, IETF, MPAI, etc.
Qualifications
Minimum Qualifications
PhD in related majors such as computer science, electronic information, communication engineering, information and systems, artificial intelligence, with a strong academic research background.
Ability to model digital signals and artificial intelligence/deep learning algorithms, and validate the systems.
Experience participating in international standard formulation is preferred.
Preferred Qualifications
Good technical vision, communication, and persuasive abilities; able to effectively communicate technical concepts in English.
Influential works published in related international conferences or mainstream journals such as machine learning, artificial intelligence, and multimedia processing.