Amazon.com Services LLC
Applied Science, north america stores
AppliedScientistII,GenAIEvaluationMedia(GEM)
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, GenAI Evaluation Media (GEM) at Amazon.com Services LLC. Skills: Computer vision, Generative AI, Machine learning, Agentic AI. Develop core science primitives. Design visual agentic systems”
What You'll Achieve.
Inspire customers; Drive purchase confidence; Achieve style goals; Deliver innovation; Uphold scientific excellence; Uphold customer obsession; Deliver solutions that scale; Define how customers discover products; Define how customers evaluate products; Define how customers discover styles; Define how customers evaluate styles
Industry & Context.
Tackle complex technical problems
What They're Looking For.
Must Have
Master's degree and 4+ years of CS, CE, ML or related field experience, PhD or Master's 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
Nice to Have
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, Willingness to learn effective prompting and evaluation practices, Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences
What You'll Do.
Develop core science primitives
Design visual agentic systems
Balance visual quality
Define success criteria
Validate scientific initiatives
Validate across customer touch points
Own end-to-end delivery
Production deployment
Stay current with AI/ML advances
Identify opportunities for AI/ML application
Drive development of scalable agentic systems
Drive deployment of scalable agentic systems
Maintain high scientific standards
Maintain high engineering standards
Tackle complex technical problems
Focus on customer value
Contribute to scientific excellence
Present at science forums
Publish at science forums
How You'll Work.
Team & Collaboration
Partner with product teams; Partner with engineering teams; Collaborate with scientists; Collaborate with engineers; Align on technical approaches; Communicate research findings; Communicate technical trade-offs
Communication Scope
Communicate findings; Communicate trade-offs
Full Job Description
The North America Stores GenAI Evaluation Media (GEM) team is seeking an 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. As an Applied Scientist on the team, you will drive the research and development of agentic AI capabilities that inform and guide the customer's 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 stron
Applying for this Applied Scientist II, GenAI Evaluation Media (GEM) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.