Summary
Michael Skarlinski is a Head of Platform and engineering/ML leader with 11 years of experience building production-grade AI and data platforms across healthcare and consumer products. He has repeatedly scaled teams and infrastructure—leading data science and platform efforts at WeightWatchers to deploy 30+ ML systems for millions of daily users, then guiding Carrum Health’s data org to enable value-based care. Now based in San Francisco, he’s focused on applied AI for science, currently leading the engineering build of an AI science platform. His background includes a PhD in computational materials science, giving him a rare blend of domain science, simulation expertise, and production ML engineering. Colleagues describe him as infrastructure-first: he hires and mentors across seniority levels while prioritizing pragmatic, deployable systems that bridge research and product.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Materials Science, Doctor of Philosophy (PhD), Computational Materials Science at University of Rochester