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Applied Scientist, US Prime And Marketing Tech

Build innovative AI models to optimize Amazon's cross-category marketing campaigns
Seattle
1 month ago
Amazon

Amazon

A global e-commerce giant offering a vast array of products, cloud services, and digital streaming content.

Discovery Tech Team Applied Scientist

Are you excited to help customers discover the hottest and best reviewed products? The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside agentic tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising. Through the enablement of intelligent marketing campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon's customers all over the globe. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation.

Key job responsibilities:

  • Research, develop, and deploy novel approaches using large language models (LLMs) and multi-agent AI systems
  • Design and implement scalable solutions for personalized recommendations and customer insights
  • Create innovative evaluation frameworks for complex AI systems
  • Collaborate with cross-functional teams to integrate AI solutions into production environments
  • Conduct rigorous experimentation and data analysis to improve model performance

To know more about Amazon science, please visit amazon.science

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Applied Scientist, US Prime And Marketing Tech
Seattle
Marketing
About Amazon
A global e-commerce giant offering a vast array of products, cloud services, and digital streaming content.