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Applied Scientist, Sponsored Products - Off-Search

Amazon

$136,000 - $223,400
Oct 7, 2025
New York, NY, US
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Amazon Ads is looking to revolutionize the advertising landscape by leveraging state-of-the-art generative AI technologies to transform how customers discover products and engage with brands, aiming to create more personalized, relevant, and inspirational shopping experiences.

Requirements

  • Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
  • Experience developing and deploying models in real-world production environments.
  • Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
  • Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
  • Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
  • Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.
  • Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.

Responsibilities

  • Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
  • Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
  • Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
  • Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
  • Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.
  • Contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences.
  • Redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey.

Other

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.