Responsibilities:
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- Design, train, and deploy deep neural networks for audio and video applications (e.g. noise/echo cancellation, beamforming, action classification)
- Prototype algorithms in MATLAB/Python and implement them efficiently in C/C++ for embedded systems
- Research state-of-the-art architectures for multimodal representation learning (e.g. audio–video fusion, self-supervised pretraining, contrastive learning) and implement on edge devices such as Android systems
- Document designs, tests, and releases, and communicate technical challenges across teams
Requirements:
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- Bachelor’s or Master’s in Electrical Engineering, Computer Science or related field with relevant experience
- Open to outstanding fresh PhD graduates
- Strong background in machine learning and deep learning for signal processing
- Proficiency in C/C++ for embedded systems and experience with real-time operating systems, familiarity with ARM/NEON or SIMD optimization is a plus
- Experience with data pipelines, training, evaluation, and experiment tracking
- Familiarity with popular audio framework (Audio HAL, ALSA) is a plus
- Familiarity with YOLO, SLAM, ViT is a plus
We offer an attractive remuneration package including 5-day work, flexible work hours and other benefits to the right candidates.
Interested parties please forward cover letter and full resume with expected salary and quote job reference number to
VTech Group of Companies,
The Human Resources and Administration Department,
23/F, Tai Ping Industrial Centre, Block 1,
57 Ting Kok Road, Tai Po, Hong Kong
OR apply online directly through our corporate website at www.vtech.com/en/careers/
For more information about us, please visit our website at www.vtech.com
All applications will be used for the purpose of recruitment only. Applicants not invited for interview within 4 weeks may consider their applications unsuccessful. We will retain the applications for a maximum period of six months and may refer them to suitable openings within our Group.