ML Software Engineer - Music Creation Apps -

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.”,”responsibilities”:”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.

Do you have experience in macOS?, Do you have a Master’s degree?, BS/MS in Computer Science, Data Engineering, Machine Learning, or related technical field, or 3 years of equivalent work experience. 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., 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.