Summary
Zak Jost is a Staff Data Scientist with 11 years of experience building production machine learning and AutoML systems, currently focused on Graph ML and GNN tooling integrated with graph databases. He helped design and ship Neptune ML at AWS, enabling one-call GNN model training and deployment, and earlier was an early scientist on Amazon Fraud Detector where he built AutoML for fraud models. Now at Airbnb, he applies research-driven engineering to product problems, bridging deep ML expertise with scalable service delivery. Outside work he creates educational content—running a GNN course, a YouTube channel, a Discord community, and a technical blog—making complex graph ML accessible to practitioners.
11 years of coding experience
15 years of employment as a software developer
Master of Science Physics, Master of Science Physics at University of Missouri-Saint Louis