Senior ML Software Engineer - Music Creation Apps at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Engineering, Audio Applications, Data Engineering, Python, C++, Swift, Model Training, Evaluation Tools, Cloud Computing, Real-Time Audio Processing, Digital Signal Processing, Music Technologies, Creative Problem-Solving, AI-Driven Features, Prototyping

Industry

Computers and Electronics Manufacturing

Description

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 Senior 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. 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. 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.

Responsibilities

As a Senior ML Software Engineer, you'll collaborate with various teams to transform AI concepts into production-ready features. Your work will cover the entire product development lifecycle, from ideation to launch.