Geert-Jan Kruijff
Director Machine Learning & Ai (Applied Science), Head of Amazon Music Personalization @Amazon Music
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WORK HISTORY
Director Machine Learning & Ai (Applied Science), Head of Amazon Music Personalization @Amazon Music
Berlin, DE
Leading teams in Berlin, San Francisco, and Seattle (approx. 80 people). Building infrastructure, models, and self-service primitives for delivering world-class personalization to all our Amazon Music customers, using state-of-the-art Machine Learning, Artificial Intelligence, and Generative AI.
EDUCATION
University of Twente
MSc, Philosophy, Computer Science
Charles University
PhD, Mathematical & Computational Linguistics
SKILLS
ABOUT GEERT-JAN KRUIJFF
Tech executive who connects people, motivation, and ideas to deliver innovations that impact people\'s lives. Strong track record in innovation management across academia and industry, from deep R&D in AI, natural language processing, and robotics, to bringing user-centric / customer-centric products to market now used by tens of millions of people daily. Attained proven track record in developing new innovative technologies, from product vision and strategy to execution, strengthening market position and setting new industry standards. Led multiple R&D teams with sizes up to 250 people, with budget responsibilities, delivering on time, at quality, and in budget. Acquired broad cross-functional experience, including research, user experience, engineering, data management including data collection, testing and quality control, product management, and project management and -leadership. Experience with development for embedded and edge platforms, as well as cloud platforms (microservices). Coordinated multiple efforts using instruments like Objectives and Key Results (OKRs), Key Performance Indicators (KPIs), and timelines/roadmaps. Collaborated with stakeholders across professional services, sales, product management, and executive teams up to C-level. Strong publication record (h-index of 31,>3600 citations; commensurate to full professor level) and long experience in public and technical communication, both written and verbally. Technical expertise includes : Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Human-Robot Interaction, Robotics, Cognitive Systems, Spatial Cognition
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