Audio ML Systems Engineer
Core
Lead the development, tuning, and deployment of advanced speech and audio solutions for next-generation mobile devices, bridging traditional DSP and modern ML workflows.
Role type
Senior IC audio ML systems engineer
Builds
Optimized speech enhancement and noise suppression systems for commercial mobile platforms
Domain
Consumer electronics / Mobile audio / Machine Learning
Deliverable
production ML models
Required skills
Digital signal processing (DSP), Machine learning model training and optimization, Python, PyTorch, TensorFlow, ONNX, Data pipeline management, Embedded device deployment
Preferred skills
Objective audio quality metrics (PESQ, POLQA), Edge hardware optimization (TensorRT, ONNX Runtime), Acoustic measurement tools, Global voice/audio standards (3GPP, ITU-T)
Technologies
PyTorch, TensorFlow, ONNX, TensorRT, ONNX Runtime, HEAD acoustics
Responsibilities
Design and execute end-to-end ML workflows for audio processing, Integrate DSP techniques with ML model architectures, Develop custom data augmentation strategies, Define and implement rigorous validation frameworks, Analyze training results and system-level metrics, Collaborate with NPU architecture and firmware teams
Seniority
Senior, hands-on IC
