Joe Zeimen is a software and machine learning engineer with 13 years of experience building data-heavy systems and shipping ML products from prototype to GA. He has led end-to-end ML lifecycles—framing problems with domain experts, designing annotation and data pipelines, automating metrics, and deploying flexible updateable models in production. His background spans high-scale roles at Salesforce improving search relevance and instrumentation, to zero-to-one product delivery as the first ML hire at Frontera Health, and now making scientific AI accessible to researchers at Benchling. Joe combines deep practical skills in Python, PyTorch, cloud deployments, and MLOps with a knack for turning ambiguous business needs into iterative technical roadmaps. He holds MS and BS degrees in Computer Science from Colorado School of Mines and is based in San Francisco. An often-overlooked strength is his focus on developer experience—reducing long-running quality checks to minutes to speed safe experimentation.
13 years of coding experience
13 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Colorado School of Mines
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