ML Software Engineer - Music Creation Apps

Imagine what you could do here. At Apple, new ideas have a way of becoming great products very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music Creation Apps team develops Logic Pro and GarageBand, empowering millions of musicians, producers, and creators worldwide. We're seeking a software engineer to help build the next generation of AI-driven features that augment the music-making process. You'll work on cutting-edge machine learning applications that provide artists with intelligent assistance exactly when they need it — all while ensuring they maintain full creative control.

Make a difference. As a ML Software Engineer on the Music Creation Apps team, you'll collaborate daily with machine learning researchers, application engineers, QA specialists, and product designers to transform innovative AI concepts into production-ready features. Your work will span the entire product development lifecycle, from early ideation and prototyping through to launch and beyond. This role requires balancing technical excellence with creative problem-solving as you help shape the future of music creation technology.

• Design and implement machine learning features for Logic Pro and GarageBand.
• Collaborate with product designers, software engineers and other domain experts to craft new AI-driven music creation experiences.
• Coordinate and share work and research with machine learning researchers across Apple.
• Optimize ML model performance for deployment on macOS and iOS devices, ensuring efficient resource utilization.
• Contribute to the full feature development lifecycle from concept through launch, iterating based on feedback and quality metrics.

• BS/MS in Computer Science, Data Engineering, Machine Learning, or related technical field, or 3 years of equivalent work experience.
• Experience implementing machine learning solutions for audio, speech, or music applications.
• Experience designing data augmentation pipelines.
• Experience developing production software applications using Python, C++ or Swift.
• Experience writing code for model training pipelines and evaluation tools using Python.

• Experience with cloud computing platforms (e.g., AWS, GCP).
• Experience integrating machine learning models into consumer-facing applications from prototype to production.
• Experience optimizing machine learning models for on-device deployment
• Experience developing real-time audio processing software and digital signal processing.
• Experience with music and audio technologies, recording or producing music or playing an instrument is a big plus.

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 $181,100 and $318,400, 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant

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