Applied Science Manager, GenAI Evaluation Media

Applied Science Manager, GenAI Evaluation Media (GEM) Job ID: | Amazon.com Services LLC Passionate about creating visual customer experiences that push the boundaries at the forefront of GenAI?The North America Stores GenAI Evaluation Media (GEM) team is seeking an experienced Applied Science Manager to help shape the future of visual shopping experiences. We are building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos, and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, vision language models, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences. The Applied Science Manager will lead a team of Applied Scientists and Machine Learning Engineers, and drive the technical vision and execution of agentic AI capabilities that inform and guide the customer’s shopping journey through visuals. This includes developing core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. Your team will build the foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life. The scientific approach emphasizes accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. Your team will bring together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires establishing robust metrics, working with multiple partners in cross-team collaboration, validating asset effectiveness across diverse customer touch points, and navigating rapid advances in AI technology to maintain competitive advantage. Key Responsibilities Technical & Strategic Leadership — Drive the technical vision and roadmap, aligning with business goals and customer needs. Lead development of core science primitives for vision and language understanding, visual content generation and editing, virtual try-on, and automated quality assurance via state-of-the-art computer vision, machine learning, generative AI. Design and implement visual agentic systems, balancing visual quality, relevance, latency, and cost. Establish metrics and success criteria for scientific initiatives, ensuring rigorous validation across customer touch points. Team Leadership — Lead and develop a high-performing team of Applied Scientists and Machine Learning Engineers. Foster a culture of scientific excellence, innovation, and customer obsession. Recruit and retain top talent in computer vision, machine learning, and generative AI. Mentor and grow future technical leaders. Partner with multiple teams within Amazon and facilitate learning and knowledge sharing. Execution & Innovation — Drive development and deployment of scalable agentic systems for visual content understanding and generation. Own end-to-end delivery of multiple concurrent research initiatives. Establish and maintain high scientific and engineering standards across the team. Stay current with latest advances in ML/AI and identify opportunities to apply them. Guide technical direction for complex problems while maintaining practical focus on customer value. Cross-functional Leadership — Partner with product and engineering teams to deliver customer-facing features. Drive alignment across teams on technical approaches and resource allocation. Basic Qualifications 3+ years of scientists or machine learning engineers management experience. PhD in computer science, machine learning, engineering, or related fields, or Master's degree. Experience hiring, developing, and managing high-performing technical teams. Experience building complex software systems, especially involving generative AI, machine learning and computer vision, that has been successfully delivered to customers. Preferred Qualifications Experience building machine learning models or developing algorithms for business application. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that has been successfully delivered to customers. Experience in e-commerce, retail or advertising. Experience understanding needs of business and end customers and translating them into right solutions. Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization. Experience developing, deploying and managing AI products at scale. Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr