Machine Learning Engineer - SRE - Distributed Systems at PayPal
Scottsdale, Arizona, United States
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Summary
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Rockstar
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Hunter Paulson is a Machine Learning Engineer II focused on site reliability engineering with 7 years of experience building high-throughput, production-grade ML systems. At PayPal he led the internal agent platform used by 100+ teams, created an automated BigQuery asset catalog with agent-first tooling, and architected real-time pipelines handling over 10M events/sec with five-nines availability. His work blends ML (anomaly detection, language models) with large-scale data engineering and SRE practices—stitching petabyte datasets to power daily reliability reporting and reducing false positives in monitoring. Earlier roles include computer vision and automation research at Boeing and ML-backed incident detection during a PayPal internship, reflecting a strong applied-research background. Based in Scottsdale, AZ, he pairs pragmatic production engineering with a knack for developer-facing tooling that accelerates teams. An uncommon strength is his ability to translate SRE telemetry into agent-driven workflows that both surface and remediate operational pain points.
7 years of coding experience
Bachelor of Science - BS, Computer Science, Minor in Statistics, Bachelor of Science - BS, Computer Science, Minor in Statistics at Ira A. Fulton Schools of Engineering at Arizona State University
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Hunter Paulson - Machine Learning Engineer - SRE - Distributed Systems at PayPal