Amazon.com Services LLC
Applied Science, Advertising
AppliedScientist,SponsoredProductsOffSearch
“Applied Scientist, Sponsored Products Off-Search at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Machine Learning, Optimization. Contribute to design and development of GenAI, deep. Transform ad retrieval, auctions, whole-page relevance, bespoke shopping”
Industry & Context.
Solving complex challenges
What They're Looking For.
Must Have
Master's degree and 4+ years experience, 3+ years building models, Experience programming in Java, C++, Python, Foundation in GenAI, LLMs, ML, DL, probabilistic modeling, optimization, Experience developing and deploying models in production
Nice to Have
PhD preferred, Proven expertise in Generative AI, foundation models, LLMs, Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization, Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF, Experience with online experimentation, A/B testing frameworks, and metrics design, Demonstrated ability to communicate complex technical topics, Experience in computational advertising
What You'll Do.
Contribute to design and development of GenAI
Transform ad retrieval
Collaborate cross-functionally with scientists
production-ready science solutions to life
Stay abreast of industry trends in GenAI
prototypes to organization
Contribute to enhancement of team’s scientific and technical
Identify and implement best-in-class algorithms
Enable rapid experimentation and scaling
Mentor and grow junior scientists and engineers
Cultivate a high-performing
intellectually curious team
Contribute to development in Generative AI and Large
Revolutionize advertising flow
frontend shopping experiences
Redefine how ads are retrieved
Elevate ads into personalized
Transform ad retrieval
Build novel generative models grounded in Amazon’s data
Shape how customers engage with ads
Apply frontier AI to real-world problems with massive
Define the next chapter of advertising science
Build delightful ad experiences across surfaces beyond Search
Deliver highly personalized
context-aware advertising
Adapt advertising to individual shopper preferences
Scale advertising across diverse page types
Integrate advertising with organic recommendations
Lead expansion and growth of advertising across Amazon-owned
Operate full stack: backend services
How You'll Work.
Team & Collaboration
Cross-functionally with scientists, engineers, product managers; Partnership with Amazon Stores stakeholders
Communication Scope
Communicate complex technical topics
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