Amazon is hiring: Applied Science Manager, Alexa Ads in San Francisco

Alexa+ is the world’s best Generative AI powered personal assistant / agent for consumers. We are seeking an experienced Applied Science Manager to build and lead a new team of scientists in India dedicated to Alexa Conversational Ads and Personalization. As the leader of this team, you will shape both the scientific roadmap and the product strategy, working closely with global product stakeholders to ensure your team is delivering high-impact, scalable solutions.

Key Job Responsibilities

Hire, develop, and mentor a high-performing team of applied scientists.

Partner with product management and engineering leadership to define the mid-to-long-term scientific roadmap for conversational ads and personalization.

Manage the execution of complex ML projects, ensuring rigorous experimental design, high modeling standards, and on-time delivery.

Bridge the gap between science, engineering, and product, translating business metrics into scientific goals and vice versa.

Establish best practices for ML lifecycle management, code quality, and technical documentation within the team.

Basic Qualifications

Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field.

6+ years of building machine learning models for business application experience.

3+ years of direct people leadership experience.

Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems.

Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.

Preferred Qualifications

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.

Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.).

Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search.

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.

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

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In Summary: We are seeking an experienced Applied Science Manager to build and lead a new team of scientists in India dedicated to Alexa Conversational Ads and Personalization . As the leader of this team, you will shape both the scientific roadmap and the product strategy . Hire, develop, and mentor a high-performing team of applied scientists .

En Español:

Alexa+ es el mejor asistente / agente personal para consumidores impulsado por inteligencia artificial generativa del mundo. Buscamos un gerente de ciencias aplicadas con experiencia para construir y dirigir un nuevo equipo de científicos en la India dedicado a los anuncios conversacionales y personalización de Alexa. Como líder de este equipo, usted dará forma tanto a la hoja de ruta científica como a la estrategia del producto, trabajando estrechamente con las partes interesadas mundiales para garantizar que su equipo ofrece soluciones altamente impactantes y escalables. Nuestros clientes contratan, desarrollan y asesoran un equipo de científicos aplicados de alto rendimiento. Colaboran con el liderazgo en ingeniería e gestión de productos para definir una hoja de Ruta científica de mediano a largo plazo para los anuncios conversacionales y personalización. Geren la ejecución de proyectos complejos de ML, asegurando diseño experimental riguroso, altos estándares de modelado y entrega puntual. Nuestro cliente cubre la brecha entre ciencia, ingeniería y infraestructura, traduciendo métricas empresariales en objetivos científicos y viceversa. Establecer mejores prácticas de búsqueda de calidad de aprendizaje en línea para manejo de ciclo de vida, código y aprendizaje automático. Las calificaciones básicas incluyen: Máster o maestría en matemáticas, estadística mecánica, implementación cuantitativa de sistemas informáticos, etc. 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, visite https://amazon.jobs/content/en/how-we-hire/accommodations para obtener más información.