Position Details
About this role
Seeking a principal AI/ML engineer to develop ultra low-latency audio and speech enhancement models for next-generation hearing devices.
Key Responsibilities
- Build and evaluate deep learning models
- Support data collection and preprocessing
- Optimize models for embedded deployment
- Partner with acoustics engineers
- Conduct lab measurements and benchmarking
Technical Overview
Role involves building and optimizing deep learning models for audio processing, integrating ML with hardware, and deploying models on embedded systems using frameworks like PyTorch and TensorFlow.
Ideal Candidate
The ideal candidate is a principal AI/ML engineer with a PhD or extensive research background in audio processing, specializing in deep learning models for speech and noise reduction. They have hands-on experience with PyTorch, TensorFlow, and optimizing models for embedded and edge AI applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in audio ML or deep learning, No background in model optimization techniques, Inability to work in hybrid locations, No PhD or research-heavy experience
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