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# Sr. Machine Learning Engineer, Sponsored Products and Brands

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $168,100.0 - $227,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Code Review, Computer Programming, Software Design Patterns, Machine Learning, Software Deployment, Software Engineering, Generative AI, Information Technology, Build Process, Software Coding, Software Version Control, Programming Languages
- **Published:** September 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28000307/Sr-Machine-Learning-Engineer-Sponsored-Products-Brands-Washington-Seattle-7375

## About the Role

5+ years of non-internship professional software development experience

 - 5+ years of programming with at least one software programming language experience
 - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 - Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

 - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 - Bachelor's degree in computer science or equivalent

## Description

* Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
 * Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
 * Drive end-to-end innovation from research ideation through production deployment at Amazon scale.
 * Lead cross-functional collaboration with product, science, and business teams to translate science into customer impact.

About the team
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.


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