Staff Machine Learning Engineer at Guidewire Software
Omaha, Nebraska, United States
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Summary
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Senior
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Top School
Bryan Johnson is a Staff Machine Learning Engineer with nine years of experience building production-grade ML systems that bridge statistical learning and large-scale engineering. He has delivered high-impact solutions across finance, advertising, and HR—reducing ETL times from days to hours, detecting accounting and fraud anomalies in production, and powering a terabyte-scale identity graph that drove significant ad revenue. At Workday he led agentic AI and evaluation frameworks for autonomous workflows and shipped generative tools that accelerated developer productivity; he now continues that trajectory at Guidewire. Bryan’s background in mathematics underpins a careful, numerics-first approach to model development and distributed computation. He combines hands-on systems optimization (multi-threaded C# apps, Spark/Hive pipelines, real-time streaming stats) with a deep interest in numerical computing, making him adept at turning complex data problems into reliable, auditable systems.
9 years of coding experience
16 years of employment as a software developer
Master's Degree Mathematics, Master's Degree Mathematics at University of Nebraska at Omaha
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