Audio Algorithm Researcher - Immersive Intelligent
Location: Sydney
Employment Type: Regular
Job Code: A98985
Responsibilities
* Research and implement the department's self‐developed next‐generation immersive intelligent audio understanding and processing algorithm system.
* Implement and optimize immersive intelligent audio codec and processing system, responsible for application iteration in short Video On Demand, LIVE, VR/MR and other business scenarios.
* Follow up and participate in domestic and international audio standards, write high‐quality standard technical proposals, and promote domestic and international immersive intelligent audio standard work.
Qualifications
Minimum Qualifications:
* Master's degree or above in electronic information, computer, multimedia, machine learning, AI artificial intelligence.
* Research experience in one or several fields such as 3D spatial audio rendering, GAN/Diffusion audio processing, voiceprint/wake‐up, sound event detection, automatic speech recognition, natural language processing, etc.
* Familiar with data structures and algorithms, deep network model design and tuning, proficient in open source tools such as Kaldi, TensorFlow, PyTorch, etc., proficient in Python/C++ programming languages, experience in model training and exploration of large‐scale training datasets is preferred.
Preferred Qualifications:
* PhD degree in related majors such as electronic information, computer, multimedia, machine learning, AI artificial intelligence.
* Hands‐on experience in digital signal processing and artificial intelligence/deep learning system development.
* Priority will be given to those who have published papers in relevant international conferences or mainstream journals (ICASSP, Interspeech, ASRU, ICML, NeurIPS, AAAAI, etc.).
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