Machine Learning Research Engineer, Audio R&D

Apple - Cambridge, MA

Full-time

Cambridge, MA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Research Engineer for Audio R&D will be responsible for developing innovative machine learning models specifically tailored for speech and audio applications. This role is integral to the Audio and Media Technologies (AMT) team at Apple, which underpins various high-profile products and features. The engineer will work on cutting-edge audio technologies, contributing to the overall user experience for millions of customers.

Responsibilities

• Develop machine learning model architectures for audio-related problems such as sound event detection and scene classification.
• Train, fine-tune, and compress models for production use.
• Contribute to team workflows by building pipelines, writing datasets, and creating evaluation frameworks.
• Participate in cross-functional teams to develop features and ship products.
• Create intellectual property through patents and publications.

Requirements

• 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 Computer Science or Electrical Engineering, with industry and research experience.

Nice-to-haves

• Proven experience in machine learning development, particularly in audio and speech applications.
• Experience optimizing and compressing machine learning models for resource-constrained platforms.
• Familiarity with multimodal large language models (LLMs).
• Demonstrated innovation in machine learning through patents or publications.
• Fundamentals of audio and speech signal processing.