Summary
Kyle Ellefsen is a Machine Learning Software Engineer in the San Francisco Bay Area with 11 years of experience bridging neuroscience, data science, and production ML at companies including YouTube, Google, Bosch AI, and Google News Intelligence. He holds a PhD in Neuroscience and has translated academic rigor into deployable ML systems—designing image classification frameworks, distributed hyperparameter search, and Bayesian model-updating pipelines for real-world settings. At YouTube he leads News Intelligence projects, and his background includes building trusted-news NLP tooling and end-to-end data pipelines in Python, TensorFlow, and Docker. Formerly at Bosch BCAI he shipped cross-domain models for manufacturing and driver assistance, reflecting a knack for adapting research techniques to industrial constraints. Colleagues know him for combining deep domain expertise with pragmatic engineering that moves models from prototype to production.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at University of California, Irvine
Bachelor of Science (BS), Neuroscience, Bachelor of Science (BS), Neuroscience at Brigham Young University