Applied Scientist II, US Prime and Marketing Tech

Amazon
USA, WA, Seattle2026-06-05ONSITE

About the job

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 advanced 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.

Responsibilities

- Creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising

- Delivering the best possible shopping experience for Amazon’s customers all over the globe

- Identifying specific and actionable opportunities to solve existing business problems and look around corners for future opportunities

- Designing, developing, testing, and deploying data-driven and highly scalable machine learning solutions in product recommendation

Qualifications

Minimum

- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience

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

- Experience building machine learning models or developing algorithms for business application

Preferred

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices

- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences