Staff Machine Learning Engineer at Lore | Turn experience into insight
Washington, District of Columbia, United States
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Summary
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Senior
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Top School
Jake Miller is a Staff Machine Learning Engineer with eight years of experience translating complex data and narratives into actionable products and insights. He blends a journalism and proposal background with deep practical ML and engineering skills—shipping production models and APIs on Kubernetes and building data pipelines with Argo Workflows. At Morning Consult he led ML-driven news analysis, narrative tracking, and an LLM-powered RAG chat workflow, creating novel evaluation metrics and generative summaries that improved interpretability and customer value. He has also built and managed data science teams and operational analytics at Cognosante, delivering predictive solutions from call-transcript data and automating engineering workflows. Based in Washington, D.C., Jake is skilled at turning ambiguous research problems into scalable SaaS features and is comfortable bridging product, engineering, and nontechnical stakeholders.
8 years of coding experience
12 years of employment as a software developer
Masters of Information and Data Science, Masters of Information and Data Science at University of California, Berkeley
A.B., History, A.B., History at Princeton University
Contributions:8 PRs, 50 pushes, 1 branch in 1 month
javascriptreactgithub-classroom
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Jake Miller - Staff Machine Learning Engineer at Lore | Turn experience into insight