Responsibilities
Team Introduction
Welcome to Video Arch Intelligent Immersive Audio Team! 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.
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Responsibilities
- Develop next-generation immersive and intelligent audio algorithms, collaborate with the architecture engineering, solution and business implementation engineering teams, and implement them in TikTok, CapCut, Pico, and other emerging AI innovation businesses.
- Build immersive intelligent audio solutions for audio content production, transmission, and consumption. Drive innovation and iteration of immersive audio and intelligent audio underlying capabilities and frameworks. Provide underlying technology capabilities for innovative businesses.
- Track and verify the latest progress in immersive audio and intelligent audio from academia and industry, and upgrade immersive audio and intelligent audio algorithm systems iteratively.
Qualifications
Minimum Qualifications
- Graduate degree in relevant majors such as computer science, electronic information, communication engineering, information and systems, artificial intelligence. Doctorates with project research experience are preferred.
- Proficient experience in digital signal processing and artificial intelligence/deep learning system development. Project practices in one or more areas such as 3D spatial audio modeling and rendering, AI audio pre-processing algorithms for denoising/echo reduction/echo cancellation, sound event detection, pre-training large language models.
Preferred Qualifications
- Familiarity with data structures and algorithms, deep network model design and optimization, proficient in open-source tools such as Kaldi, TensorFlow, Pytorch. Proficiency in Python/C++ programming languages, experience in model training and exploration on large-scale training datasets is a plus.
- Good team cooperation mentality, learning ability, business awareness, and enthusiasm for speech and audio technology.
- Priority given to those who published papers in relevant international conferences or mainstream journals (ICASSP, Interspeech, ASRU).