Jun Xie is a Machine Learning Engineer with 14–15 years of experience building large-scale recommendation, search, and integrity systems for major tech platforms. He has led cross-functional efforts at Meta, Twitter, and LinkedIn to modernize and monetize recommendation stacks—authoring patented lead-recommendation algorithms and architecting the relevance platform behind LinkedIn Sales Navigator. Jun's background spans computer vision and bioinformatics research to production ML at scale, bridging academic rigor (PhD in Electronic Engineering) with engineering pragmatism in Big Data ecosystems (GCP, Flink/Spark, BigQuery). Known for technical leadership and team building, he drives end-to-end solutions from model design and API development to deployment and monitoring. An interesting through-line: his career began in 3D image analysis and neuronal reconstruction, skills he translated into robust feature engineering and applied ML across ads, jobs, and sales domains.
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