About

Lynne Zhang is a highly skilled Machine Learning Engineer with over 7 years of relevant experience. She is currently working at Meta AI Applied Research as a Machine Learning Engineer where she provides machine learning and deep learning services to challenging business problems and delivers valuable insights. Lynne is proficient in Python, Java, Spark, Torch, ML, and AWS and has hands-on experience in machine learning, natural language processing, and recommendation systems. Lynne has worked with various companies in the past, including Fox Corporation and Glassdoor, where she held the position of Senior Machine Learning Engineer. During her tenure at Fox Corporation, Lynne worked on the movie/TV series recommendation system in TUBI.tv with Spark/Scala, Tensorflow, and PyTorch. She has also worked on developing recommendation systems at Glassdoor. Lynne has a Master's degree in Marketing/Marketing Management, General from Peking University, a Master's degree in Computer Science from Worcester Polytechnic Institute, a Master's degree in Finance from The University of Hong Kong, and a Bachelor's degree in Civil Engineering from Harbin Institute of Technology. Lynne is highly skilled in ML, AI, Research Scientist, Recommendation systems, Spark, AWS, Deep Learning, NLP, Python, Java, Tensorflow, Pytorch, and Scala. She is a problem solver and has the ability to mine hidden gems located within large sets of structured and unstructured data. Overall, Lynne Zhang is a talented and experienced Machine Learning Engineer who is passionate about solving challenging business problems using machine learning and deep learning techniques. She has a proven track record of delivering valuable insights and developing recommendation systems for various companies.