Applied Scientist II, GenAI Evaluation Media (GEM)

The North America Stores GenAI Evaluation Media (GEM) team is seeking an Applied Scientist to help shape the future of visual shopping experiences. Were 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.

As an Applied Scientist on the team you will drive the research and development of agentic AI capabilities that inform and guide the customers shopping journey through visuals. This includes building core science primitives for multimodal understanding visual content generation and editing personalized virtual try-on and automated quality assurance. You will develop 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.

Your scientific approach will emphasize 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. You 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 collaborating with cross-functional partners validating asset effectiveness across diverse customer touch points and staying at the forefront of rapid advances in AI technology.

The ideal candidate will have deep technical expertise in Computer Vision Generative AI or related fields with a strong ability to connect scientific work to customer and business outcomes. You will partner with scientists engineers and stakeholders across Amazon to deliver innovation and uphold 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. This is a unique opportunity to shape the future of visual commerce through applied AI research building the systems that will define how hundreds of millions of customers discover and evaluate products and styles through visual experiences.

Key job responsibilities
Innovation & Technical Execution
Develop 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
Design and implement visual agentic systems balancing visual quality relevance latency and cost
Define metrics and success criteria for your scientific initiatives ensuring rigorous validation across customer touch points
Own end-to-end delivery of research initiatives from problem formulation through experimentation to production deployment
Stay current with latest advances in AI/ML and identify opportunities to apply them to your problem space
Drive development and deployment of scalable agentic systems for visual content understanding and generation
Maintain high scientific and engineering standards in your work
Tackle complex technical problems while maintaining practical focus on customer value
Contribute to the teams culture of scientific excellence through presentations and publications at internal and external science forums

Cross-functional Collaboration
Partner with product and engineering teams to deliver customer-facing features
Collaborate with scientists and engineers across multiple teams within Amazon to align on technical approaches
Communicate research findings and technical trade-offs clearly to both technical and non-technical stakeholders


- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in building models for business application
- Experience programming in Java C Python or related language

- Experience in investigating designing prototyping and delivering new and innovative system solutions
- Experience in CS CE ML or related field research
- Experience building machine learning models or developing algorithms for business application
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
- Usage of generative AI tools to enhance workflow efficiency with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products workflows or customer experiences.

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Sunnyvale - 171600.00 - 222200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually