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Sr Applied Scientist, Sponsored Products and Brands

Amazon

Company : Amazon

Location : Palo Alto, CA, 94301

Posted Date : 2 November 2025

Job Type : Other

Category : Scientific Research & Development

Occupation : Scientist

Job Details

Sponsored Products and Brands

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

SPB Ad Response Prediction Team

SPB Ad Response Prediction team is your choice if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with a machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.

Key Job Responsibilities

As a Sr Applied Scientist, you will:

  • Develop scalable and effective machine learning models and optimization strategies to solve business problems.
  • Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
  • Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
  • Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.

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