Senior ML Software Engineer - Music Creation Apps

novative 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":"Lead and guide implementation of 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.

Preferred Qualifications

Experience with cloud computing platforms (e.g., AWS, GCP).

Experience with Apple frameworks for ML development (CoreML, Foundation Models framework).

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.

Minimum Qualifications

BS/MS in Computer Science, Data Engineering, Machine Learning, or related technical field, and 5+ years of work experience in the software industry.

Experience implementing machine learning solutions for audio, speech, or music applications to customers.

Experience integrating machine learning models into consumer-facing applications from prototype to production.

Experience optimizing machine learning models for on-device deployment

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.

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