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Sr. MLE, AI Studios , AI Studios Job at Amazon in New York

Amazon, New York, NY, United States


Job ID: 3148591 | Amazon.com Services LLC

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 Machine Learning Engineer 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 engineering 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 AI Studios systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;

Work closely with applied scientists, 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;

Basic Qualifications

5+ years of non‑internship professional software development experience

5+ years of programming with at least one software programming language experience

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 $151,300/year in our lowest geographic market up to $261,500/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.

Posted: December 19, 2025 (Updated 2 days ago)

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In Summary: We are looking for a self-motivated, passionate and resourceful Machine Learning Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers . 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 .

En Español: ID de trabajo: 3148591 ✓ Amazon.com Services LLC 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 favoritos incluidas las series y películas producidas por Amazon MGM Studios; favoritas de los fanáticos con licencia; y la programación desde suscripciones complementarias de Prime Video como Apple TV +, Max, Crunchyroll y MGM+. Todos los clientes, independientemente de si tienen o no una membresía Prime, pueden alquilar o comprar títulos a través de la Prime Video Store, y puede disfrutar aún más contenido gratuitamente con anuncios. ¿Está interesado en dar forma al futuro del entretenimento? Con oportunidades globales para talentosos tecnológicos, usted puede decidir a dónde le llevará una carrera en Prime Video Tech! buscamos un ingeniero de aprendizaje automático auto-motivado, apasionado e inventivo 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 práctico del aprendizaje automatico y líder de la ingeniería. desempeñará un papel clave en el equipo, construyendo y guiando los modelos de machine learning desde cero. Al final del día, tendrá la recompensa de ver cómo sus contribuciones benefician a millones de clientes Amazon.com en todo el mundo. Responsabilidades clave del trabajo Desarrollar soluciones de IA para varios sistemas de AI Studios que utilizan métodos de aprendizaje profundo, GenAI, Aprendizaje reforzado y optimización; Trabajar en estrecha colaboración con científicos aplicados, ingenieros e administradores de productos para diseñar, implementar y lanzar soluciones inteligentes artificiales de extremo a extremo; Diseñar y realizar experimentos fuera de línea y en línea (A/B) para evaluar las soluciones propuestas basadas en análisis de datos detallados; Comunicar eficazmente ideas técnicas y no técnicas con compañeros de equipo y partes interesadas; Mantenerse al día con los avances y las últimas técnicas de modelado en el campo; Qualificaciones básicas 5+ años de experiencia profesional en desarrollo de software sin pasantías 5 + años de programación con al menos un lenguaje de programado 5 + año de experiencia en diseño o arquitectura líder (patrones de diseño, fiabilidad y estándares de escalada) Los mejores estándares de gestión de nuevos y existentes Experiencia como proveedor legalmente protegida Oportunidad de manejo de equipos de entrenamiento de expertos profesionales de nivel superior o una vida completa de procesos de ingeniería de código equivalente, incluida la capacitación en ciencias informáticas y otras tecnologías. Si usted tiene una discapacidad y necesita un alojamiento o ajuste en el lugar de trabajo durante el proceso de solicitud y contratación, incluido el apoyo para la entrevista o el proceso onboarding, por favor visite https://amazon.jobs/content/en/how-we-hire/accommodations para obtener más información.