Jonathan Jin
Machine Learning Software Engineer

I’m a machine learning engineer working on ML platform and infrastructure at Spotify in NYC. My work centers around scalable systems engineering and user-centric platform design for production-tier machine learning.

Before Spotify, I helped build machine learning platforms at NVIDIA as a member of their autonomous vehicles division and Twitter as a member of their Cortex organization. I’ve also worked on site reliability and observability infrastructure at Uber.

I’m a proud alumnus of the University of Chicago, where I studied computer science and economics.

• cnvrg.io: “AI Developers to Watch 2023”

Note: While this site itself uses no tracking whatsoever, links below may direct to sites that do, e.g. YouTube. Click at your own discretion.

• “How Spotify is Navigating an Evolving ML Landscape with Hendrix Platform”, TWIMLcon (2022)
• “Empowering Traceable and Auditable ML in Production at Spotify with Hendrix”, MLconf San Francisco (2022)
• “Scaling Kubeflow for Multi-tenancy at Spotify”, KubeCon + CloudNativeCon North America (2021)
• “ML Workflows at Twitter: Lessons Learned”, AI NEXTCon New York (2019)

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