Applied Scientist II, Prime Video Personalization and Discovery Science Job at A

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! Key job responsibilities Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. Basic Qualifications 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development 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 $136,000/year in our lowest geographic market up to $223,400/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: 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're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources . 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 tecnólogos, puede decidir a dónde le lleva una carrera Prime Video Tech! Responsabilidades clave de trabajo Desarrollar modelos ML para varios sistemas de recomendación y búsqueda utilizando métodos de aprendizaje profundo, aprendizaje en línea y optimización Trabajar estrechamente con otros científicos, ingenieros y gerentes de productos para expandir la profundidad de nuestras ideas sobre nuestros productos con datos, crear una variedad de experimentos para determinar los proyectos de alto impacto que deben incluir en las hojas de ruta de planificación Manténgase al día con los avances y las últimas técnicas de modelado del campo Publique sus hallazgos de investigación en conferencias y revistas importantes Un día de vida Estamos usando enfoques avanzados como modelos fundacionales para conectar información acerca de nuestros videos y desde diversas fuentes de información, adquiriendo y aprendiendo conjuntos de datos a una escala que solo unas pocas empresas en el mundo coinciden con grupos creativos. Usted será un líder de investigación en el espacio y un practicante práctico del ML, guiando y colaborando con equipos talentosos de ingenieros y científicos y líderes sénior en la organización Prime Video. También tendrá la oportunidad de publicar su investigación en conferencias internas y externas. Qualificaciones básicas 3+ años de construcción de modelos para experiencia en aplicaciones empresariales doctorado o maestría y 4 + años de CS, CE, ML u experiencia relacionada en campo Experiencia en programación en Java, C++, Python o lenguaje relacionado Experiencias en cualquiera de las siguientes áreas: algoritmos y estructuras de datos, parcelación, optimización numérica, minería de datos , computación paralela y distribuida, alta-rendimiento Calificaciones preferentes Experiencia utilizando Unix/Linux Experiencia profesional en desarrollo de software El empleador garantiza una igualdad de oportunidades y no discrimina sobre la base de supervisores, superintendentes u otras normas legales protegidas Estándares de trabajo Los Ángeles puede seguir esta posición a pesar de que los solicitantes y otros funcionarios locales tienen obligaciones directas; Estos incluyen los deberes y responsabilidades enumerados anteriormente, así como las capacidades para adherirse a las políticas de la compañía, ejercer un buen juicio, manejar eficazmente el estrés y trabajar con seguridad y respeto con otros, mostrar fiabilidad y profesionalismo, y salvaguardar las operaciones comerciales y la reputación de la Compañía. De acuerdo con la Ordenanza Fair Chance del Condado de Los Ángeles, consideraremos candidatos calificados para empleo con antecedentes de arresto y condena. Nuestra cultura inclusiva empodera a los amazónicos para 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