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 (Logic Pro, GarageBand, MainStage) is looking for a talented Software/Data Engineer to help build the next generation of AI-driven features for our apps. Our highly cross-functional team works closely with Engineering, Product Design and QA, as well as other audio experts across Apple, to develop advanced machine learning AI algorithms, augment the music-making process and provide artists help right when they need it — all while ensuring they maintain full creative control.
Description
Make a difference. You are a motivated self-starter, comfortable navigating through ambiguity to create the next generation of AI-driven music making experiences across Apple’s Music Creation Apps. Your responsibilities will include building and maintaining audio data sets, driving data engineering solutions to collect, annotate and augment musical data, designing tools and visualisations for data analysis, and support building and evaluating cutting-edge machine learning models for music analysis and processing. We are looking for a strong engineer who also has a keen sense of how to build good products. Your curiosity drives you to explore new technologies and apply creative solutions to problems. The ideal candidate pays close attention to details, but also keeps sight of the bigger picture.
Minimum Qualifications
* BS/MS in Computer Science, Data Engineering, Machine Learning, or other
* related discipline or equivalent professional experience in software/data
* engineering.
* Strong software development skills with Python, C++ or Swift.
* Experience in developing audio manipulation and processing pipelines.
* Expertise in data quality evaluation and developing visualisations and tooling.
* Fluent in English.
Preferred Qualifications
* Experience with cloud computing platforms (e.g., AWS, GCP).
* Experience in managing and maintaining large datasets and working with
* complex audio or musical data.
* Familiar with developing machine learning models for audio analysis or
* processing.
* Familiar with version control systems such as Git.
* Passion for music and audio technologies, recording or producing music or
* playing an instrument is a big plus.