Amazon.com Services LLC
Technology
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. Develop science primitives. Design visual agentic systems”
Industry & Context.
Rigorous research skills; Practical engineering instincts; Tackle complex technical problems
What They're Looking For.
Must Have
Master's degree and 4+ years experience, PhD or Master's degree, 4+ years CS, CE, ML experience, Building models for business application, Programming in Java, C++, Python
Nice to Have
Investigating, designing, prototyping, delivering solutions, CS, CE, ML research experience, Building machine learning models, Developing algorithms for business application, Developing deep learning algorithms, Computer vision algorithms experience, Generative AI tools usage, Learn effective prompting, Learn evaluation practices, Recognize generative AI opportunities
What You'll Do.
Develop science primitives
Design visual agentic systems
Define metrics and success criteria
Validate asset effectiveness
Own end-to-end delivery
Production deployment
Stay current with AI/ML advances
Identify application opportunities
Drive development of agentic systems
Deploy agentic systems
Maintain scientific standards
Maintain engineering standards
Tackle complex technical problems
Focus on customer value
Contribute to scientific excellence
Present at science forums
Publish at science forums
Partner with product teams
Partner with engineering teams
Deliver customer-facing features
Collaborate with scientists
Collaborate with engineers
Align on technical approaches
Communicate research findings
Communicate technical trade-offs
How You'll Work.
Team & Collaboration
Cross-functional partners; Scientists across Amazon; Engineers across Amazon; Product teams; Engineering teams
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.