Amazon
Director, Applied Science, Prime Video Personalization & Discovery
Amazon, Seattle, Washington, United States, 98101
Director Of Applied Science
Prime Video is a first-stop entertainment destination offering a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports. All customers can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Prime Video Personalization and Discovery is dedicated to creating a highly personalized content discovery experience that drives both short-and long-term business goals. Our mission is to automate and enhance customer engagement through personalization, using ML and Generative AI. To drive these efforts, Prime Video is seeking a visionary science leader to spearhead our investments in machine learning (ML) and artificial intelligence (AI). As a Director of Applied Science, you will report directly to the VP of PVPD and oversee a large organization delivering against our ML strategy, overseeing the design of our ML stack, and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of television for billions of viewers worldwide. Key job responsibilities include optimizing the complete customer experience, across the touch points throughout customers' discovery journey. This includes building AI and optimization solutions, working with the business, product, engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of science and engineering managers, along with senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication. Basic qualifications include an M.S. in Computer Science, Machine Learning, or a related field. You should have 15+ years experience in recommendation, search, natural language processing, machine learning, or a related field. Expertise in large language models applications or demonstrated ability to develop this expertise quickly is required. Preferred qualifications include a Ph.D. in Computer Science, Machine Learning, or a related field. Work with academic partners to support our in-house talent with direct access to research and mentoring is also preferred.
Prime Video is a first-stop entertainment destination offering a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports. All customers can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Prime Video Personalization and Discovery is dedicated to creating a highly personalized content discovery experience that drives both short-and long-term business goals. Our mission is to automate and enhance customer engagement through personalization, using ML and Generative AI. To drive these efforts, Prime Video is seeking a visionary science leader to spearhead our investments in machine learning (ML) and artificial intelligence (AI). As a Director of Applied Science, you will report directly to the VP of PVPD and oversee a large organization delivering against our ML strategy, overseeing the design of our ML stack, and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of television for billions of viewers worldwide. Key job responsibilities include optimizing the complete customer experience, across the touch points throughout customers' discovery journey. This includes building AI and optimization solutions, working with the business, product, engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of science and engineering managers, along with senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication. Basic qualifications include an M.S. in Computer Science, Machine Learning, or a related field. You should have 15+ years experience in recommendation, search, natural language processing, machine learning, or a related field. Expertise in large language models applications or demonstrated ability to develop this expertise quickly is required. Preferred qualifications include a Ph.D. in Computer Science, Machine Learning, or a related field. Work with academic partners to support our in-house talent with direct access to research and mentoring is also preferred.