Deep Learning Engineer (음성 인식 및 wake word detection 개발)
Core
Designing and optimizing next-generation voice interfaces for automotive environments, connecting user speech to LLM-based AI Agents via STT, Wake Word Detection, and On-device AI.
Role type
Senior IC Deep Learning Engineer (Speech AI)
Builds
Production STT and Wake Word Detection models, optimized for Linux and Android devices
Domain
Automotive AI, Speech Recognition, Edge Computing
Deliverable
production ML models
Required skills
Speech signal processing, STT model design, Wake Word Detection (WWD) model design, On-device application development (Linux/Android), C/C++/Python, Deep learning frameworks (PyTorch/TensorFlow/Keras/Caffe), Hardware-efficient model optimization
Preferred skills
SSL (Self Supervised Learning), AED (Attention based Encoder-Decoder), Multi-lingual STT, Language model research for speech recognition, Top-tier journal/paper publication, Master's/PhD in relevant field
Technologies
PyTorch, TensorFlow, Keras, Caffe, Linux, Android, Git, CI/CD
Responsibilities
Design STT acoustic/language models and build voice databases, Design WWD models and build voice databases, Develop batch/streaming voice applications for server and on-device, Develop hardware-efficient models and optimize performance
Seniority
Mid-level to Senior, hands-on IC