Machine Learning Audio R & D Engineer

Apple • Cupertino, CA

18h

About The Position

The MGCT Audio team is seeking a research and development machine learning engineer to develop models for speech and audio applications. Media Graphics & Compute Technologies (MGCT) supports Apple products and platforms, while the Core Audio team provides audio foundations for features including Siri, phone calls, FaceTime, media capture and playback, and APIs for third-party developers. The team builds audio software products and technologies for Apple customers, with a focus on user experience.

The engineer will develop machine learning model architectures for audio problems such as sound event detection, scene classification, and context understanding; train, fine-tune, and compress models for production; contribute to workflows, datasets, pipelines, and evaluation frameworks; participate in cross-functional feature and product development; and create intellectual property through patents and publications.

Requirements

• At least 4 years of experience in machine learning development, including audio and speech 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, and C++.
• Knowledge of audio technologies.
• Master's degree in Computer Science or Electrical Engineering, with industry and research experience.

Nice To Haves

• Familiarity and experience with multimodal large language models (LLMs).
• Demonstrated innovation in machine learning, such as patents or publications.
• Fundamentals of audio and speech signal processing.
• Ph.D. in Computer Science or Electrical Engineering, with industry and research experience.

Responsibilities

• 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 team workflows by 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level