Role Number: 200627352-3241
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.
Minimum Qualifications
* 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.
Preferred Qualifications
* 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.rell