Machine Learning Audio R & D Engineer
The AMT Audio team is looking for a highly motivated and talented research and development machine learning engineer to develop models for speech and audio applications.
The Audio and Media Technologies (AMT) is at the center of Apple's innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMT's Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API's for third party developers to enrich our platforms. The team is looking for talented engineers who are passionate about building audio software products for millions of customers and care about overall user experience. You will be revolutionizing and contributing to future audio technologies.
Description
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 team's 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.
Preferred Qualifications
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
Minimum Qualifications
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
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