Machine Learning Research Engineer, Audio R&D

Apple; Cupertino (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

A leading technology company is seeking a Machine Learning Research Engineer for their Audio R&D team in Cupertino. In this role, you will develop and optimize machine learning models for audio applications, contributing to innovative products that enhance user experience. Ideal candidates will have strong programming skills, knowledge of audio technologies, and a relevant master's degree.

Benefits

Medical and dental coverage

Retirement plans

Educational reimbursement

Stock programs

Discretionary bonuses

Qualifications

• Practical knowledge of machine learning architecture design and training/testing methodologies.
• Experience building machine learning pipelines.
• Knowledge of audio technologies.

Responsibilities

• Develop machine learning model architectures for audio-related problems.
• Train, fine-tune, and compress models for deployment.
• Collaborate with cross-functional teams to develop features.

Skills

Machine Learning Architecture Design

Python

C

C++

Audio Technologies

Education

MS in Computer Science

MS in Electrical Engineering

Job description

Machine Learning Research Engineer, Audio R&D

Cupertino, California, United States

Software and Services

Summary

Posted: **May 20, 2025**

Role Number: **200605682**

The AMT Audio team is seeking a highly motivated research and development machine learning engineer to develop models for speech and audio applications.

The Audio and Media Technologies (AMT) team is central to Apple’s innovative products, including Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS, and tvOS. Our Core Audio team provides the foundational audio technology for features like Siri, phone calls, FaceTime, media capture, playback, and APIs for third-party developers. We are looking for dedicated engineers passionate about building audio software products for millions of users and enhancing overall user experience. Join us in shaping the future of audio technology.

Responsibilities

1. Develop machine learning model architectures for audio-related problems such as sound event detection, scene classification, and context understanding.
2. Train, fine-tune, and compress models for deployment in production environments.
3. Contribute to workflow improvements by building pipelines, creating datasets, and designing evaluation frameworks.
4. Collaborate with cross-functional teams to develop features and ship products.
5. Create intellectual property through patents and publications.

Minimum Qualifications

• 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.

Preferred Qualifications

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

Pay & Benefits

Apple offers a total compensation package including a base salary, discretionary bonuses, stock programs, and comprehensive benefits such as medical and dental coverage, retirement plans, educational reimbursement, and discounts. The salary range for this role is $143,100 to $264,200, depending on skills and experience. Learn more about Apple Benefits.

Apple is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. For more information, see your EEO rights.

We participate in the E-Verify program and provide reasonable accommodations for applicants with disabilities. Apple is a drug-free workplace and considers qualified applicants with criminal histories in accordance with applicable laws. In San Francisco, the Fair Chance Ordinance applies, and in Massachusetts, lie detector tests are prohibited.