ML Software Engineer - Music Creation Apps

Apple Inc

Computer-Hardware

Schleswig

Art der Beschäftigung: Vollzeit
46.500 € – 59.000 € (von XING geschätzt)
Vor Ort
Aktiv auf der Suche

Über diesen Job

Summary

Posted: Oct 21, 2025

Role Number:200627352-3241

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.

Description

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.

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.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.