Immersive Audio AI Research Scientist in Sydney

Immersive Audio AI Research Scientist in Sydney

Sydney Full-Time 64350 - 78650 $ / year (est.) On-site
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At a Glance

  • Tasks: Join TikTok's Audio Innovation team to research immersive audio and ML models.
  • Company: Be part of TikTok's cutting-edge Multimedia Lab in Australia.
  • Benefits: Gain experience in a dynamic environment with global collaboration opportunities.
  • Other info: Collaborate with international audio standards organisations like MPEG and 3GPP.
  • Why this job: Contribute to groundbreaking audio technology and shape the future of sound.
  • Qualifications: Masters in electronic information, computer science, or ML; experience with GAN/Diffusion audio processing.

The predicted salary is between 64350 - 78650 $ per year.

Tik Tok's Multimedia Lab in Australia is seeking a graduate researcher to join the Audio Innovation team.

You will contribute to R&D on immersive audio, ML/NN models, and participate in domestic and international audio standards work with MPEG, 3GPP and IETF.

We welcome applicants who have or are completing a Masters in electronic information, computer science, or ML, with experience in GAN/Diffusion audio processing and deep learning tools such as Kaldi, Tensor Flow or Py Torch.

Immersive Audio AI Research Scientist in Sydney employer: CSEA

CSEA offers a dynamic work environment where graduates can explore diverse career paths in advisory and accounting. The company emphasizes professional growth through comprehensive training programs and opportunities to tackle complex challenges. With a focus on sustainability and social impact, CSEA is committed to creating positive change while fostering a culture of collaboration and innovation.

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Contact Details:

CSEA Recruitment Team

We think you need these skills to ace Immersive Audio AI Research Scientist in Sydney

Immersive Audio R&D
Machine Learning (ML)
Neural Networks (NN)
GAN/Diffusion Audio Processing
Deep Learning Tools (Kaldi, TensorFlow, PyTorch)
Audio Standards Knowledge (MPEG, 3GPP, IETF)
Electronic Information