Prime Video is a first-stop entertainment destination offering customers 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 including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV , Max, Crunchyroll and MGM . All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, youll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced, challenging, and varied. Youll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. Well look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! As a highly experienced and seasoned science leader, you will apply state of the art generative AI, graphics, audio and computer vision research to video centric digital media. You are responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent. You will lead the research direction for a team of deeply talented applied scientists, creating the roadmaps for forward-looking research and communicate them effectively to senior leadership. You will also hire and develop applied scientists - growing the team to meet the evolving needs of our customers. Basic Qualifications- 10 years of applied research experience- 5 years of management experience with scientists and/or machine learning engineers- 5 years of building machine learning models for business application experience- PhD, or Master's degree and 6 years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C , Python or related language. Preferred Qualifications- Experience building complex software systems that have been successfully delivered to customers, especially involving Generative AI, machine learning and computer vision.- Experience with 2 D/3 D animation and world models.