Summary
Joshua Pham is a machine learning engineer with 11 years of experience building production ML systems and consumer-facing personalization at scale, most recently leading agentic playlist curation and interactive DJ features at Spotify. He has shipped multiple deep learning models across voice, podcast, and playlist enhancement products, designing synthetic data and robustness strategies to improve agent behavior. Based in New York and now "building something new" at Enzyme, he combines research-forward Transformer work with pragmatic system migrations and feature-first engineering. His background spans data engineering to senior ML roles, and he brings hands-on C++ media prototyping experience from Dolby that informs his attention to latency and product UX. Outside core ML work he’s interested in good UX for working gardens, hinting at a designer’s sensibility in how algorithms meet real people.
12 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at The University of Texas at Austin