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Head of Applied Science, Amazon Portable Devices
Saeed Moghaddam is a seasoned AI/ML leader and an integral member of Amazon’s Portable Devices organization, where he serves as the Head of Applied Science. In this role, he oversees a global team of Applied Scientists and AI Engineers across Seattle, Sunnyvale, and Madrid, spearheading cutting-edge AI initiatives, including generative AI foundations and applications. Saeed has led several transformative cross-functional initiatives, seamlessly integrating AI/ML innovations into product development to drive and align with broader business objectives. Saeed holds a Ph.D. from the University of Florida, specializing in large-scale behavioral models for mobile users. With over 20 years of experience, he has been at the forefront of pioneering AI/ML technologies, driving significant advancements in industry innovation and enhancing user experiences. Before joining Amazon, Saeed led transformational AI/ML initiatives at Apple, impacting key areas such as CoreML and Siri, and at Samsung Research America, where he pioneered Edge AI initiatives. His work has been recognized with multiple prestigious awards, including a nomination for the most innovative technology at Apple WoC, the Samsung Gold Medal for technological innovation, and an ACM UbiComp Best Paper Nominee Award for groundbreaking Edge AI research. He holds over 25 patents and publications in leading IEEE and ACM conferences and has served as a program committee member for several international conferences.
University of Florida
Doctor of Philosophy - PhD, Computer and Information Science - Machine Learning
N/A – Present
University of Science and Technology
Master of Science - MS, Software Development Management
N/A – Present
Amirkabir University of Technology
Bachelor of Science - BS, Software Engineering
N/A – Present
Amazon
Head of Applied Science, Portable Devices
January 1, 2021 – Present
Apple
ML Science & Engineering Lead, Core ML/Siri
February 1, 2017 – January 1, 2021
Samsung Research America
ML Science Lead, Mobile & AI Solutions Lab
March 1, 2013 – February 1, 2017
Advanced Technologies Institute
Senior Engineering Manager
January 1, 2005 – January 1, 2007
Telecom Research Institute
Engineering Manager
January 1, 2003 – January 1, 2005
Rayneel Intelligent Systems Inc.
President and Co-founder
January 1, 2001 – January 1, 2003
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning Science and Engineering leadership, with significant experience in research and development. While this demonstrates strong technical acumen, the target role of 'Data Analyst' might be a significant shift from their senior leadership and research-focused career trajectory. The breadth of skills is deep in ML but not explicitly broad across typical data analyst tools and methodologies (e.g., specific BI tools, advanced SQL for reporting, A/B testing design for business impact). This could indicate a potential mismatch in day-to-day responsibilities and career aspirations for a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's extensive leadership experience suggests strong soft skills in team management, strategic planning, and potentially communication. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit beyond leadership capacity.