Senior Applied Scientist, Sponsored Products and Brands
Senior Applied Scientist, Sponsored Products and Brands
Posted on :
13-07-2025
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1 Vacancy
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Job Description
The Amazon Sponsored Products and Brands is looking for a talented Sr. Applied Scientist to join the WW Science team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazons advertising stack from the ground up leveraging multilingual and multi-modal GenAI technologies including semantic hash designs LLMs and more to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small high-impact team that prototypes invents and ships state-of-the-art solutions that will define the future of digital advertising.
The ideal candidate combines entrepreneurial drive with deep technical expertise thriving in ambiguous fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade experiments. Your Customer Obsession fuels your passion for translating science into real-world value for millions of advertisers and customers worldwide. You are consistently Right A Lot when navigating complex technical decisions demonstrating the rare ability to identify solutions that drive maximum impact with minimal resources. Whether youre architecting scalable GenAI systems or optimizing multi-task recommendation engines you cut through complexity to find the solutions that deliver the most results. Your GenAI experience goes beyond theoretical knowledgeyou have successfully delivered value with state-of-the-art technologies at Amazon scale understanding both the promise and practical challenges of deploying machine learning in production environments (evaluations etc.). Youre not just a scientist or just an engineeryoure a builder who sees the bigger picture and knows how to make it reality.
Key job responsibilities
* 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 engineering 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.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 5 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience delivering production grade solutions in Recommendations Systems Advertising Information and Retrieval or Search domains
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The ideal candidate combines entrepreneurial drive with deep technical expertise thriving in ambiguous fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade experiments. Your Customer Obsession fuels your passion for translating science into real-world value for millions of advertisers and customers worldwide. You are consistently Right A Lot when navigating complex technical decisions demonstrating the rare ability to identify solutions that drive maximum impact with minimal resources. Whether youre architecting scalable GenAI systems or optimizing multi-task recommendation engines you cut through complexity to find the solutions that deliver the most results. Your GenAI experience goes beyond theoretical knowledgeyou have successfully delivered value with state-of-the-art technologies at Amazon scale understanding both the promise and practical challenges of deploying machine learning in production environments (evaluations etc.). Youre not just a scientist or just an engineeryoure a builder who sees the bigger picture and knows how to make it reality.
Key job responsibilities
* 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 engineering 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.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 5 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience delivering production grade solutions in Recommendations Systems Advertising Information and Retrieval or Search domains
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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