ML Software Engineer - Music Creation Apps

Requirements

• 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.

Nice to Haves

• 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.

What You'll Be Doing

• Collaborating with machine learning researchers, application engineers, QA specialists, and product designers.
• Transforming innovative AI concepts into production-ready features.
• Spanning the entire product development lifecycle from ideation to launch and beyond.
• Balancing technical excellence with creative problem-solving.
• Shaping the future of music creation technology.

Perks and Benefits

• Make a difference in a team that develops Logic Pro and GarageBand.
• Empower millions of musicians, producers, and creators worldwide.
• Work on cutting-edge machine learning applications.
• Provide artists with intelligent assistance in the music-making process.
• Maintain full creative control throughout the process.