Amazon is hiring: Sr. Applied Scientist, Prime Video - Personalization and Disco

Description 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 technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll 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! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities Develop AI solutions for various Prime Video Recommendation and Personalization systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; Effectively communicate technical and non-technical ideas with teammates and stakeholders; Stay up-to-date with advancements and the latest modeling techniques in the field; Publish your research findings in top conferences and journals. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications PhD, or Master's degree and 6+ years of applied research experience 5+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr In Summary: Prime Video's technology teams are creating best-in-class digital video experience . As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers . We are looking for a self-motivated, passionate and resourceful Applied Scientist . En Español: Prime Video es un destino de entretenimiento de primera parada que ofrece a los clientes una vasta colección de programación premium en una sola aplicación disponible en miles de dispositivos. Los miembros de Prime pueden personalizar su experiencia de visualización y encontrar sus películas, series, documentales y deportes en vivo favoritos incluyendo las series y películas producidas por Amazon MGM Studios; favoritas de los fanáticos con licencia; y la programación desde suscripciones adicionales de Prime Video como Apple TV +, Max, Crunchyroll y MGM. Todos los clientes, independientemente de si tienen o no una membresía de Prime, pueden alquilar o comprar títulos a través de la Prime Video Store, y pueden disfrutar aún más contenido gratuitamente con anuncios. ¿Estás interesado en dar forma al futuro del entretenimento? Con oportunidades globales para talentosos tecnológicos, usted puede decidir a dónde le lleva una carrera de Prime Video Tech! buscamos un científico aplicado auto-motivado, apasionado e ingenioso que traiga diversas perspectivas, ideas y conjuntos de habilidades para hacer que Prime Video sea aún mejor para nuestros clientes. Pasará su tiempo como practicante en aprendizaje automático y líder de investigación. desempeñará un papel clave en el equipo, construyendo y guiando modelos de aprendizaje automatico desde cero. Al final del día, tendrá la recompensa de ver sus contribuciones beneficiar a millones de clientes de Amazon.com en todo el mundo. Trabajamos en estrecha colaboración con los equipos de ingeniería para lanzar nuestras soluciones a la producción. Qualificaciones básicas, doctorado o maestría y más de 6 años de experiencia en investigación aplicada 5+ años de construcción de modelos de aprendizaje automático para aplicaciones empresariales Experiencia en programación en Java, C ++, Python u otros idiomas relacionados Experiencia con métodos neurales de deep learning y aprendizaje automatico Qualifications Preferentes Experiencias con herramientas de modelado como R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Estos incluyen los deberes y responsabilidades enumerados anteriormente, así como la capacidad de adherirse a las políticas de la empresa, ejercer un buen juicio, manejar eficazmente el estrés y trabajar con seguridad y respeto con otros, mostrar fiabilidad y profesionalidad, y salvaguardar las operaciones comerciales y la reputación de la Compañía. De acuerdo con la Ordenanza Fair Chance del Condado de Los Ángeles, consideraremos para el empleo solicitantes calificados con antecedentes de arresto y condena. Nuestra cultura inclusiva permite a los amazónicos ofrecer los mejores resultados para nuestros clientes. Si usted tiene una discapacidad y necesita un alojamiento o ajuste en el lugar de trabajo durante el proceso de solicitud y contratación, incluyendo soporte para la entrevista o proceso de incorporación, visite https://amazon.jobs/content/en/we-hire/accommodations para obtener más información. Dependiendo del puesto ofrecido, la equidad, los pagos de inscripción y otras formas de compensación pueden proporcionarse como parte de un paquete total de compensaciones, además de una gama completa de beneficios médicos, financieros y/o otros. Para obtener más información, visite https://www.aboutamazon.com/workplace/employee-benefits . Este puesto permanecerá publicado hasta que se complete. Los solicitantes deben solicitar a través de nuestro sitio web interno o externo para carreras. #J-18808-Ljbffr