At Apple, extraordinary ideas have a way of quickly becoming extraordinary products, services, and customer experiences. Sound is an essential and compelling facet of the customer experience. Apple has assembled an elite Acoustics team that enables our customers to experience music with delight, communicate with clarity, and enjoy elegant sound throughout our product line. In Apple Acoustics we work with the utmost attention to detail, directly impacting the design of products that millions of people around the world love! Our Audio Technology team develops and integrates new audio features for Appleʼs products. We are a team of diverse engineers coming together to create prototypes of innovative audio technologies and guiding their implementation into Appleʼs products. We work openly and collaboratively throughout Appleʼs deeply-connected engineering and product development teams. We are looking for an Audio ML Algorithm Engineer to help take our products to the next level. Could this be you?

DESCRIPTION

The primary focus of the Audio ML Algorithm Engineer is to: - Develop ML training pipelines - Be comfortable with scalable data preprocessing and model evaluation - Be willing to work in a research branch of an implementation-focused team - Collaborate with a broad variety of engineers from various organizations

MINIMUM QUALIFICATIONS

• Research experience in speech and audio algorithm development using machine learning (released product features, patents, papers, etc.)
• Hands-on experience developing machine learning pipelines
• Fluency in python/PyTorch, common software engineering practices, and version control
• Experience developing real-time speech and audio processing software

PREFERRED QUALIFICATIONS

• MS/PhD in Computer Science or Electrical Engineering
• Experience with on-device models and firmware constraints
• Familiarity with psycho-acoustics, speech, and language modeling
• Experience with perception or audio understanding

Please refer the Job description for details