Audio Algorithm Researcher - Immersive Intelligent

TikTok

4.5

(6)

Sydney, Australia

4.5/5 in overall job satisfaction

4.5/5 in supportive management

100% say women are treated fairly and equally to men

100% would recommend this company to other women

100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.

We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.

Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.

#7343406252041079049

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 majors 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 majors 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.)