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
Job-Infos
Berufsfelder
Qualitätsmanagement
Studienfächer
Elektrotechnik
Informationstechnik
Maschinenbau
Abschluss
Bachelor
Master/Diplom
Unternehmen
Ingenieur-Gehälter
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