Summary
Jason Levine is a Staff Research Engineer with 13 years of experience at the intersection of machine learning and music technology, currently advancing research and product work at Output Inc. He combines creative computational art practice with applied ML research to build audio-visual systems, having shipped prototypes and interactive installations for clients from Harmonix to immersive retail experiences. Trained in music technology and poetic computation, Jason blends signal processing, parallel programming know-how, and rapid physical-digital prototyping to turn experimental ideas into production-ready features. Based in New Paltz, NY, he brings a rare mix of artistic sensibility and engineering rigor—often contributing surprising generative or audio-reactive elements that bridge creative expression and scalable ML systems.
12 years of coding experience
4 years of employment as a software developer
School for Poetic Computation
Bachelor of Computer Science, Music Technology, Bachelor of Computer Science, Music Technology at Concordia University
Statement of Accomplishment with Distinction, Heterogeneous Parallel Programming, 91.3, Statement of Accomplishment with Distinction, Heterogeneous Parallel Programming, 91.3 at Coursera - Urbana-Champagne
Royal West Academy
English, French, Spanish