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Sarah Hubbard
Program Manager - Machine Learning & Artificial Intelligence at Apple
Sarah Hubbard is an accomplished Engineering Program Manager specializing in Machine Learning and Artificial Intelligence at Apple. She has a rich background in technology and public policy, having previously held significant roles at both Apple and Microsoft.
Professional Background
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Current Role: Sarah is currently an Engineering Program Manager at Apple, focusing on Machine Learning and Artificial Intelligence. Her work involves leading cross-functional teams to develop innovative AI products and solutions.
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Previous Experience: Before her current position, she served as a Senior Engineering Program Manager at Apple from September 2020 to May 2022, where she was involved in the Machine Learning Platform & Tools division. Prior to that, she worked at Microsoft in various roles, including Program Manager for Azure IoT Central, where she contributed to the launch of significant IoT solutions.12
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Public Policy Engagement: Sarah has also engaged with public policy through her role as an intern at the White House Office of Science and Technology Policy, where she helped coordinate initiatives aimed at promoting STEM education and technology literacy.2
Education and Research
Sarah holds a strong academic background with a focus on technology governance and public purpose. She has been involved in research related to decentralized autonomous organizations (DAOs) and the implications of emerging technologies on democracy during her time as a Technology and Public Purpose Fellow at Harvard University.13
Skills and Contributions
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Technical Expertise: Sarah's technical skills encompass artificial intelligence, mixed reality, and intelligent device development. She has been recognized for her contributions to significant projects within both Apple and Microsoft.
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Thought Leadership: Her work has been presented at various prestigious conferences, showcasing her commitment to addressing the challenges posed by emerging technologies.12
Sarah Hubbard's blend of engineering expertise and policy experience positions her as a key figure in shaping the future of AI and machine learning at Apple.
