Summary
Michael Kneier is a staff machine learning engineer in San Francisco with 11 years of experience building and shipping high-impact ML systems from research to production. He has led large cross-functional efforts at Twitter to launch purchase optimization and conversion modeling products, driven double-digit metric improvements, and published research on explore/exploit strategies. As an early ML hire at Affirm and Vungle, he designed core modeling libraries and architectures that powered underwriting and ad-serving systems, improving performance metrics by wide margins. More recently he was a founding engineer at a startup before joining Reddit, bringing a blend of research rigor, production-grade engineering, and team leadership. Notably, he has repeatedly owned end-to-end ML stacks—research, infrastructure, and serving—scaling experiments into revenue-driving features.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree Statistics, Bachelor's degree Statistics at University of California, Berkeley