About

Ted Wild is a highly experienced Software Engineer in Machine Learning with over 14 years of relevant experience. He is currently working at Facebook as a Software Engineer in Machine Learning. He has extensive experience in big data, scalable computing, and writing efficient programs. Ted has demonstrated his leadership skills in managing distributed platform and machine learning projects. He has designed and implemented the Bing document understanding platform that computes features on billions of documents per day for the Bing index and knowledge graph. He has also applied machine learning on web data including entity extraction, entity linking, wrapper induction, and document topic analysis. Before joining Facebook, Ted worked at Microsoft as a Principal Software Engineer and a Senior Software Development Engineer/Senior Development Lead. During his time at Microsoft, he contributed to various projects, including the event-driven architecture that allows developers to independently qualify and ship features at scale using open technologies such as Spark and Kafka. He also worked on the document understanding platform for Bing question answering, improved release agility by introducing rigorous and automated performance and parity tests, and initiated a deep learning initiative to accelerate quality and improve productivity by unifying feature development under a common framework. Ted holds a Doctor of Philosophy in Computer Science from the University of Wisconsin-Madison, where he also earned a Master of Science in Computer Science. He obtained his Bachelor of Science in Computer Science from the University of Texas at Austin. Ted's technical skills include ML, Software Engineering, Big Data, Web, Deep Learning, Spark, and Kafka. His expertise in these areas has enabled him to contribute to various projects and achieve remarkable results.