As part of the audio team you will develop machine learning models for speech enhancement augmented hearing and hearing health applications. Train fine-tune and compress models for production. Contribute to the teams workflows building pipelines writing datasets and creating evaluation frameworks. Participate in cross-functional teams developing features and shipping products. Create intellectual property in the form of patents and publications.
- 4 years experience in machine learning development including audio and speech processing applications.
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
- Experience building machine learning pipelines
- Experience optimizing and compressing machine learning models for resource constrained platforms.
- Excellent software architecture and programming skills in Python C C
- Knowledge of audio technologies
- MS in CS or EE industry and research experience
- Experience developing models and algorithms for speech enhancement source separation and assistive hearing
- Demonstrated innovation in machine learning for audio (patents publications)
- Fundamentals of audio and speech signal processing
- PhD in CS or EE Industry and research experience
As part of the audio team you will develop machine learning models for speech enhancement augmented hearing and hearing health applications. Train fine-tune and compress models for production. Contribute to the teams workflows building pipelines writing datasets and creating evaluation frameworks. P...
As part of the audio team you will develop machine learning models for speech enhancement augmented hearing and hearing health applications. Train fine-tune and compress models for production. Contribute to the teams workflows building pipelines writing datasets and creating evaluation frameworks. Participate in cross-functional teams developing features and shipping products. Create intellectual property in the form of patents and publications.
- 4 years experience in machine learning development including audio and speech processing applications.
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
- Experience building machine learning pipelines
- Experience optimizing and compressing machine learning models for resource constrained platforms.
- Excellent software architecture and programming skills in Python C C
- Knowledge of audio technologies
- MS in CS or EE industry and research experience
- Experience developing models and algorithms for speech enhancement source separation and assistive hearing
- Demonstrated innovation in machine learning for audio (patents publications)
- Fundamentals of audio and speech signal processing
- PhD in CS or EE Industry and research experience
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