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.

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