Applied Scientist, Sponsored Products and Brands

Amazon
New York, NY, USA / Seattle, WA, USA2026-04-27ONSITE

About the job

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.

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.

Qualifications

Minimum

3+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred

Experience using Unix/Linux

Experience in professional software development