Audio Algorithm Researcher - Immersive Intelligent

Responsibilities

Team Introduction
Welcome to the Audio Innovation team under TikTok's most pioneering research team - Multimedia Lab! We are dedicated to pushing the boundaries of immersive audio technology and standardization. In addition to supporting TikTok requirements including short video, live-streaming, content creation tools and also VR/AR experiences, we also stay up-to-date with the latest research in the industry and participate in audio Standards Developing Organizations(SDO) such as MPEG, 3GPP, and IETF, etc. As part of our commitment to innovation, we proactively conduct R&D using Machine Learning and NN models(especially generative models) for immersive audio technology. If you're looking to work with a team that values creativity, innovation, and collaboration, we'd love to hear from you. Please join us to reshape the audio world together.

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 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.)