Sr. MLE, Creative-X, Amazon Advertising, Creative-X Job at Amazon in New York

Description The CreativeX RAPID (Real‑time Ad Personalization & Insights Development) team is seeking passionate and talented SDM to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real time, leveraging nueva technologies such as latent diffusion models, large language models (LLM), reinforcement learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self‑service brand advertisers. We automate the customization of product creatives with real‑time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Overview As an Senior Machine Learning Engineer on the CreativeX RAPID asset sourcing team, you will be responsible for building and optimizing the infrastructure that powers image and layout sourcing, while delivering actionable reporting and insights to drive creative performance. Core Responsibilities Asset Sourcing & Pipeline Development Design, develop, and maintain scalable ML pipelines for automated asset sourcing, including image and layout generation for selection Own the end‑to‑end Latte pipeline implementation for asset lifecycle management across multiple stages Implement and optimize asset indexing logic, creative variant ID generation, and asset candidate pool management Develop algorithms to improve asset quality, diversity, and relevance for real‑time ad personalization Collaborate with upstream asset generation teams to ensure seamless integration and data flow Machine Learning & Optimization Apply advanced ML techniques including computer vision, latent diffusion models, and reinforcement learning to enhance asset pool performance Build models to predict asset performance metrics (CTR, conversion rates) and optimize asset allocation Develop multi‑modal optimization strategies combining images, product titles, and headlines Implement A/B testing frameworks and experimentation methodologies to validate model improvements Reporting & Insights Design and build comprehensive dashboards and reporting systems to track asset lifecycle stages, leakage analysis, impression share, selection rates, and CTR performance Develop metrics and KPIs to measure asset sourcing efficiency and creative effectiveness Provide data‑driven insights to stakeholders on asset performance, optimization opportunities, and pipeline health Create automated alerting systems for pipeline anomalies and performance degradation Technical Leadership & Collaboration Mentor junior engineers and contribute to technical design reviews Partner with AI‑Gen, AdFormat, Realtime Serving and Reporting teams to ensure alignment on technical solutions Drive best practices for ML model development, deployment, and monitoring Contribute to the technical roadmap and architecture decisions for the asset sourcing platform System Performance & Scalability Ensure reliable asset sourcing pipelines to generate creative variants for real‑time ad serving both on and off Amazon Optimize pipeline performance to handle large‑scale asset processing Implement monitoring and observability solutions to maintain system reliability Design solutions that scale with growing advertiser demand and catalog complexity Key Deliverables Production‑ready ML models and pipelines for asset sourcing and insights Comprehensive dashboards and reporting tools for asset performance trackingTechnical documentation and knowledge sharing with cross‑functional teams Measurable improvements in asset quality, selection efficiency, and creative performance metrics About the team In an ideal future, AI Gen models have evolved to a state where entire creatives are generated on the fly and precisely tailored to the immediate preferences of each shopper. We bring this vision to life by sourcing a collection of pre‑generated assets and assembling them, in real time, into personalized creative experiences for every customer. Our mission is to improve advertiser outcomes by tailoring the visuals to each shopper and publisher. The AI space is rapidly evolving and combining optimization with Amazon’s 1P audience data will be what enables us to leapfrog the competition. Through continuous creative optimization, we expect to learn how users interact with content across a variety of context. Our upstream teams will provide us an endless variety of content, informed by our learnings, via AI generation, transformation, and deconstruction. Advertisers will receive easily digestible insights to improve their future creatives. We succeed when shoppers see creatives personalized to their intent, publishers display creatives that match their unique look and feel, and advertisers benefit from increased performance. #J-18808-Ljbffr In Summary: CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease . Our team is responsible for tailoring the visual experience of ads to each context in real time . Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self‑service brand advertisers . En Español: Descripción El equipo CreativeX RAPID (Real-time Ad Personalization & Insights Development) está buscando SDM apasionados y talentosos para unirse a nosotros. CreativeX tiene la misión de permitir que las marcas de todos los tamaños y categorías creen, sirvan, miden y optimizen contenido creativo con facilidad. Nuestro equipo es responsable de adaptar la experiencia visual de los anuncios a cada contexto en tiempo real, aprovechando nuevas tecnologías como modelos de difusión latente, modelos de idiomas grandes (LLM), aprendizaje reforzado (RL), visión por computadora y métodos relacionados. Automatizamos la personalización de los creadores de productos con datos del catálogo en tiempo real, proporcionando a los anunciantes la flexibilidad para personalizar sus creativos según sus preferencias. Resumen Como ingeniero senior de aprendizaje automático en el equipo de abastecimiento de activos CreativeX RAPID, usted será responsable de construir y optimizar la infraestructura que impulsa la adquisición de imágenes y diseños, al mismo tiempo que proporciona informes accionables e información para impulsar el rendimiento creativo. Responsabilidades fundamentales Asset Sourcing & Pipeline Development Diseño, desarrollo y mantenimiento de líneas técnicas escalables para obtener recursos automatizados, incluida la generación de imagen y diseño de diseños para seleccionar las líneas operativas Latte-to-end for asset lifecycle Implementing and optimizing asset development rates for assets asset lifecycles Implementación y optimización de índices de activos, creación de variante ID, así como gestión de grupos de clientes potenciales Desarrollando algoritmos para mejorar la calidad de los activos, elaboración de modelos de análisis de resultados de proyectos de trabajo y sistemas de conocimientos tecnológicos Conclusiones para desarrollar soluciones avanzadas, diseño y implementación de métodos de software de construcción y desarrollo de equipos de procesos de ensayo (C&D) Evaluación de datos y su capacidad de funcionamiento Técnicas para aumentar la eficiencia de los niveles de rendimiento y la producción de activos y la tecnología, así fortalecer las capacidades de los sistemas de uso de los instrumentos de inteligencia artificialmente diseñado (Multipliquería y desarrollo), Mechanical Engineers's & Applications Design & Tracking & Delivery). Traemos a la vida esta visión al obtener una colección de activos pre-generados y ensamblarlos, en tiempo real, en experiencias creativas personalizadas para cada cliente. Nuestra misión es mejorar los resultados de los anunciantes adaptando las imágenes a cada comprador y editor. El espacio de IA está evolucionando rápidamente y combinar optimización con datos de audiencia 1P de Amazon será lo que nos permitirá saltar por delante de la competencia. A través de la optimización creativa continua, esperamos aprender cómo los usuarios interactúan con el contenido en una variedad de contextos.