Dylan Freedman
About Dylan Freedman
Dylan Freedman is a Senior Machine Learning Engineer currently working at The New York Times. He has held various engineering roles at notable organizations, including The Washington Post and Google, and has academic credentials from Harvard University and Stanford University.
Current Role at The New York Times
Dylan Freedman serves as a Senior Machine Learning Engineer at The New York Times. He began this role in 2024 and has been contributing to the organization for five months. His work focuses on implementing machine learning solutions to enhance the publication's data-driven journalism and improve user engagement.
Previous Experience at The Washington Post
Freedman held multiple positions at The Washington Post. He was the Lead Engineer for Election Platforms from 2022 to 2023, where he oversaw the development of technology supporting election coverage. He later served as Principal Software Engineer for Elections from 2023 to 2024, continuing to advance election-related software solutions. Additionally, he worked as a Senior Software Engineer in News Engineering from 2021 to 2022, contributing to various news technology initiatives.
Education and Expertise
Freedman earned a Bachelor's degree in Computer Science and Music from Harvard University, studying from 2011 to 2015. He later pursued a Master's degree in Journalism at Stanford University, completing his studies in 2018. His educational background combines technical expertise with a strong foundation in journalism, enabling him to bridge the gap between technology and media.
Experience at Google
Freedman worked at Google in various capacities from 2013 to 2017. He began as an intern in 2013 and progressed to roles such as Software Engineer in Test and Software Engineer, Researcher in Machine Perception. His experience at Google provided him with a solid foundation in software engineering and machine learning applications.
Teaching Experience
In 2019, Freedman served as an Adjunct Instructor for Data Journalism at Temple University for three months. This role involved teaching students about the intersection of data analysis and journalism, highlighting his commitment to education and mentorship in the field.