About

Matt McKenna is a Senior ML Engineer at Spotify, where he works on ML+NLP for the Spotify Voice System. With over 10 years of relevant experience, Matt has a proven track record of success in the field of machine learning. Prior to joining Spotify, he worked as a Data Scientist for Alexa AI/ML at Amazon and as a Data Scientist/Lead Researcher at Hill Holliday. Matt holds a Master of Science degree in Statistics from California State University, Fullerton and a Bachelor's degree in Mathematics from Wheaton College Massachusetts. He has a strong technical background in ML, NLP, Research Scientist, Data Scientist, and AI. At Spotify, Matt is responsible for developing ML models and NLP algorithms that power the Spotify Voice System. He is also involved in designing and implementing data-driven solutions to improve the user experience. His work has helped Spotify to deliver personalized and relevant content to its users. Matt is a highly skilled professional with a deep understanding of statistical modeling, data analysis, and machine learning techniques. He is passionate about using technology to solve complex problems and is always looking for new ways to innovate and push the boundaries of what is possible. In summary, Matt McKenna is a talented Senior ML Engineer with a wealth of experience in ML, NLP, Research Scientist, Data Scientist, and AI. He is a valuable asset to Spotify and is committed to delivering high-quality solutions that improve the user experience.