About the job
The North America Stores GenAI Evaluation Media (GEM) team is seeking a Senior Applied Scientist to help shape the future of visual shopping experiences. We're 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, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences.
Responsibilities
Define the research roadmap and advance 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, and generative AI
Architect visual agentic systems, making high-judgment trade-offs across visual quality, relevance, latency, cost, and long-term extensibility
Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points
Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance
Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact
Drive development and deployment of scalable agentic systems for visual content understanding and generation, ensuring architectural decisions support long-term platform evolution
Set and continuously raise the scientific and engineering bar across the team
Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability
Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents
Influence product and engineering roadmaps by partnering with senior leadership to shape customer-facing features grounded in scientific insight
Drive technical alignment across multiple teams and organizations within Amazon, resolving ambiguity and building consensus on approaches
Communicate research vision, findings, and technical trade-offs persuasively to executive, technical, and non-technical stakeholders, shaping investment decisions
Mentor and develop junior and mid-level scientists, accelerating their growth and impact
Qualifications
Minimum
Deep and broad technical expertise in Computer Vision, Generative AI, or related fields
Proven track record of connecting scientific work to customer and business outcomes at scale
Rigorous research skills and practical engineering instincts
Demonstrated ability to navigate ambiguity, make high-judgment trade-offs, and drive alignment across competing priorities
Ability to contribute to the broader scientific community through publications, patents, and internal knowledge sharing
Preferred
deep and broad technical expertise in Computer Vision, Generative AI, or related fields with a proven track record of connecting scientific work to customer and business outcomes at scale. You will serve as a technical leader and thought partner to scientists, engineers, and senior stakeholders across Amazon, mentoring junior scientists, raising the scientific bar, and delivering innovation while upholding a culture of scientific excellence and customer obsession. This role requires both rigorous research skills and practical engineering instincts, with a focus on delivering solutions that scale and a demonstrated ability to navigate ambiguity, make high-judgment trade-offs, and drive alignment across competing priorities. You will be expected to contribute to the broader scientific community through publications, patents, and internal knowledge sharing.