Ian Anderson is a Co-founder and CTO with 11+ years translating physics-grade rigor into production AI systems, most recently leading large-scale ML engineering and research at Spotify where he re-architected user understanding and recommendation stacks and chaired the ML Advisory Board. He brings deep experience optimizing billion-parameter models under millisecond latency constraints, authoring papers and patents that influenced product features like Discover Weekly and Daylist. A recovering physicist with a PhD tied to the Higgs discovery, he combines statistical modeling and distributed computing expertise with a craft-focused approach to engineering and a bias for simplifying complexity. Now building at Malachyte, he’s motivated by collaborative systems and cultivating engineering environments that let teams ship pragmatic, lasting ML infrastructure.
11 years of coding experience
15 years of employment as a software developer
Johns Hopkins University
Bachelor's degree Physics, Bachelor's degree Physics at Carnegie Mellon University
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