About

Joshua Malters is a Machine Learning Engineer with expertise in Natural Language Processing, General Deep Learning, classical Machine Learning, Recommendation Systems, Highly Available Web Services, Systems Programming, and General Back End Engineering. Currently, he is working as a Machine Learning Engineer II at Amazon, where he is developing AWS Quicksight Q, a tool that answers natural language questions over data. His work includes MLOps, NLP, Tabular Data, Knowledge Representation and Reasoning, Data Mining, and AWS Services. In the past, Joshua has worked as a Software Development Engineer II at Amazon, where he contributed to Amazon’s Weblab (A/B testing framework) and was the single point of contact for his organization's (VP-level) hardware costs. He also worked as a Software Engineer II at Nordstrom, where he designed and implemented an MVP feature store solution and led the Recommendation API re-write project that resulted in an estimated $18.7M lift annually. He also spearheaded two summer intern programs, where he was responsible for on-boarding, training, hiring top talent, managing intern projects, and promoting intern success to managers and business. Joshua holds a Master of Science in Computer Science from the Georgia Institute of Technology and a Bachelor of Science in Informatics with a specialization in Data Science from the University of Washington. He also attended Billings West High School. Joshua has relevant experience of 1.87 years and is proficient in ML, AWS, NLP, Recommendation systems, Backend, Deep Learning, Software Engineer, Web, test, Senior Software Engineer, Spark, and Kubernetes. His experience in machine learning and software engineering has sharpened his communication, delegation, and deep-dive skills.