Jonathan Jin
Machine Learning Software Engineer
About Me
I’m a machine learning engineer with a specialization in platform and infrastructure. I am currently a Staff ML Engineer at Hinge building out the company’s ML platform and infrastructure. I am also the Engineering Advisor for the non-profit Humane Intelligence, where I work with Dr. Rumman Chowdhury to build a community of practice around the burgeoning field of algorithmic audit and evaluation in service of responsible AI.
I have previously helped build and scale machine learning platform and infrastructure at Spotify, NVIDIA, and Twitter (pre-X).
I’ve also worked on site reliability and observability infrastructure at Uber, contributing to the systems that ultimately led to the creation of M3DB and Chronosphere.
I’m a mildly traumatized proud alumnus of the University of Chicago, where I
studied computer science and economics.
Resume
Talks
- “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)
Contact
About This Site
This site is written with Emacs as a standard Org mode file, exported to static HTML with Water.css for styling. It uses PDF.js for in-line resume display on browsers that support it.
This site tracks site visits using Plausible, a privacy-friendly and open-source Google Analytics alternative that collects no personal data.
The site is hosted on GitHub with GitHub Pages. Take a look at the (truly very tiny) repo here, if interested.