Summary
Marc Leef is a Senior Machine Learning Engineer with 12 years of experience building large-scale search, ads, and cloud systems, currently working on Google Search Ads and now at OpenEvidence. His career spans impactful roles across Google locations—Seattle, Kirkland, and Zurich—where he focused on Safe Search, search quality, ranking, and ad bid optimization, plus Cloud Billing. He combines strong ML and systems skills with a propensity for applied research, developed during his MEng at Princeton and early bioinformatics and genomics research. Marc has a track record of reducing latency and improving search infrastructures, from an AWS caching project that cut client latency by up to 90% to migrations leveraging Lucene/Solr. Based in New York, he blends production-grade engineering with academic rigor and a practical knack for turning data-heavy problems into efficient, scalable services.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of Oregon
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Princeton University