Speech and Audio Systems Engineer
Core
Developing advanced AI models for speech enhancement, acoustic echo cancellation, neural beamforming, and noise suppression to support voice interaction in humanoid robotics, automotive systems, and consumer devices.
Role type
Senior IC machine-learning engineer (audio/speech)
Builds
Production AI models for voice user interaction in robotics and automotive
Domain
Robotics and automotive audio
Deliverable
production ML models
Required skills
Deep learning (CNNs, RNNs, autoencoders), multi-microphone AI, multi-rate signal processing, adaptive beamforming, distributed microphone array processing, PyTorch
Preferred skills
PhD in EE/CS, published in IEEE venues, Adobe Audition proficiency
Technologies
PyTorch, CNNs, RNNs, autoencoders
Responsibilities
Advancing AI techniques for voice interaction in robotics and automotive, conducting research in speech enhancement with linear and distributed microphone arrays, using multi-microphone AI to detect talker count and directionality, prototyping and demonstrating research concepts, filing patents and publishing papers
Seniority
Senior, hands-on IC with some supervision and guidance responsibilities
