Applied Scientist, Sponsored Products And Brands

Sponsored Products And Brands Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.

Calling all inventors to work on exciting new opportunities in Sponsored Products! You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills, and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.

Key Job Responsibilities

• Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
• Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them.
• Research new and innovative machine learning approaches.
• Recruit Scientists to the team and provide mentorship.