Machine Learning Research Engineer, Audio R&D
Description For Machine Learning Research Engineer, Audio R&D
Apple's Audio and Media Technologies (AMT) team is seeking a Machine Learning Research Engineer to join their innovative Audio R&D division. This role sits at the heart of Apple's core products, including Mac, iPhone, iPad, Apple Watch, and various operating systems. As part of the Core Audio team, you'll be instrumental in developing cutting-edge machine learning models for speech and audio applications that power features like Siri, phone calls, and FaceTime.
The position offers an exciting opportunity to work on audio software products that impact millions of users worldwide. You'll be developing sophisticated machine learning architectures for sound event detection, scene classification, and context understanding. The role involves training and optimizing models for production environments, building robust pipelines, and creating evaluation frameworks.
The ideal candidate should possess strong theoretical and practical knowledge of machine learning, with specific expertise in audio technologies. You'll need excellent programming skills in Python, C, and C++, along with experience in building machine learning pipelines. An MS in Computer Science or Electrical Engineering is required, along with relevant industry and research experience.
Working at Apple means joining a company at the forefront of technology innovation. You'll be part of a team that values creativity, technical excellence, and user experience. The compensation package is competitive, including a base salary range of $175,800 to $312,200, plus additional benefits like stock options, comprehensive healthcare, and educational reimbursement.
This is an excellent opportunity for a skilled machine learning engineer who is passionate about audio technology and wants to contribute to products that revolutionize how people interact with their devices. You'll be working in Cupertino, collaborating with world-class engineers and researchers, while having the chance to create intellectual property through patents and publications.
Responsibilities For Machine Learning Research Engineer, Audio R&D
- Develop machine learning model architectures for audio problems including sound event detection, scene classification and context understanding
- Train, fine tune and compress models for production
- Contribute to 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
Requirements For Machine Learning Research Engineer, Audio R&D
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies
- Experience building machine learning pipelines
- Excellent software architecture and programming skills in Python, C, C++
- Knowledge of audio technologies
- MS in CS or EE, industry and research experience
Benefits For Machine Learning Research Engineer, Audio R&D
- Comprehensive medical and dental coverage
- Retirement benefits
- Employee stock programs
- Education reimbursement
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan with discount
- Discretionary bonuses
- Relocation benefits
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