Machine Learning Research Engineer, Audio R&D Job at Apple in Cupertino
Apple, Cupertino, CA, United States, 95014
Machine Learning Research Engineer, Audio R&D
Cupertino, California, United States
Software and Services
The AMT Audio team is looking for a highly motivated and dedicated research and development machine learning engineer to develop models for speech and audio applications. The Audio and Media Technologies (AMT) 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, FaceTime, media capture, playback, and APIs for third-party developers to enrich our platforms. The team is looking for hardworking 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
- 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.
Key Qualifications
Preferred Qualifications
- Proven experience in machine learning development, including audio and speech applications.
- Experience optimizing and compressing machine learning models for resource-constrained platforms.
- Familiarity and experience with multimodal large language models (LLMs).
- Demonstrated innovation in machine learning (patents, publications).
- Fundamentals of audio and speech signal processing.
Education & Experience
Additional Requirements
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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