About

Jay Franck is a Senior Machine Learning Engineer at Box, with over 6 years of relevant experience. He is responsible for delivering Machine Learning models into real-time, production systems serving millions of unique customers. At Box, Jay has trained and deployed a TensorFlow Ranking model that is in production and has improved the Search relevance NDCG by +4%. He has also leveraged SOTA NLP models to aid in the Session-ization of customer queries to better understand user intent. Jay has revamped the team's data engineering pipeline to run on Python 3 (PySpark) and adjusted the metrics pipeline to report on customer engagement and other business-related measures. Prior to joining Box, Jay worked as a Senior Machine Learning Engineer at Playstation, where he contributed to developing and deploying machine learning models for customer behavior analysis and predictive maintenance. He also worked as a Researcher/Teaching Assistant at Case Western Reserve University, where he conducted research in Astrophysics. Jay holds a Doctor of Philosophy (Ph.D.) in Astrophysics from Case Western Reserve University, an M.S. in Astrophysics from San Diego State University, and a B.S. in Astrophysics from Michigan State University. He also has a background in Data Engineering, NLP, Python, TensorFlow, and Search. With a proven track record of delivering successful machine learning models and improving customer engagement, Jay is a valuable asset to any team looking to leverage the power of machine learning in their products and services.