
Machine Learning Audio R & D Engineer
Cupertino, CAJobSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The MGCT Audio team seeks a machine learning research and development engineer to develop models for speech and audio applications. The role includes designing and training models, preparing them for production, contributing to data and evaluation workflows, collaborating on product development, and creating intellectual property through patents and publications. The team works on audio technologies supporting Apple products and features.
Skills & qualifications
Skills
Qualifications
Full job description
Role Number: 200694130-0836
Summary
The MGCT Audio team is looking for a highly motivated and talented research and development machine learning engineer to develop models for speech and audio applications.
The Media Graphics & Compute Technologies (MGCT) is at the center of Apple’s innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMT’s Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API’s for third party developers to enrich our platforms. The team is looking for talented engineers who are passionate about building audio software products for millions of customers and care about overall user experience. You will be revolutionizing and contributing to future audio technologies.
Description
As part of the audio team, you will: Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding. Train, fine tune and compress models for production Contribute to the team’s workflows 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
Minimum Qualifications
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4+ years experience in machine learning development, including audio and speech applications.
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Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
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Experience building machine learning pipelines
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Experience optimizing and compressing machine learning models for resource constrained platforms.
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Excellent software architecture and programming skills in Python, C, C++ Knowledge of audio technologies
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MS, in CS or EE, industry and research experience
Preferred Qualifications
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Familiarity and experience with multimodal large language models (LLMs)
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Demonstrated innovation in machine learning (patents, publications)
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Fundamentals of audio and speech signal processing
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PhD, in CS or EE, Industry and research experience
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
How this job compares
Set against the 6,240 open Machine Learning Engineer jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This postingNot listed
- California median$176–261K/yr1,409 salary ranges
- California median$50–68/hr27 hourly ranges
- Openings
- Olive Jobs lists 1,831 open Machine Learning Engineer jobs in California and 6,240 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,158 postings).
- Education
- This posting asks for a master's degree; 410 of the 6,240 open Machine Learning Engineer jobs (7%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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