Amazon
Applied Science Manager, Sponsored Products and Brands
$184K–$274K
Seattle, WA +2 · Manager · Full-time · Posted Oct 7, 2026
- Location
- Seattle, WA
New York, NY
SEATTLE, WA - Experience
- 4+ years of applied research; 3+ years managing scientists or machine learning engineers; 3+ years building machine learning models for business applications. A PhD, or a Master's degree and 6+ years of applied research experience, is also specified.
- Education
- PhD, or Master's degree and 6+ years of applied research experience; bachelor's degree or above in STEM, or experience defining and creating benchmarks for assessing GenAI model performance.
About the job
Leads an applied science team building generative AI and machine learning solutions, including recommendations that help advertisers create and improve Sponsored Brands campaigns and shopper experiences.
What you'll do
- Hire, develop, technically lead, and mentor applied scientists.
- Design and build generative AI recommendation systems and other scalable solutions for advertiser and shopper needs.
- Research and apply current generative AI and machine learning techniques to advertising products.
What they ask for
- 4+ years of applied research experience.
- 3+ years of scientists or machine learning engineers management experience and 3+ years building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Knowledge of ML, NLP, Information Retrieval and Analytics; programming experience in Java, C++, Python or a related language; and a STEM bachelor's degree or above, or experience defining and creating benchmarks for assessing GenAI model performance.
Nice to have
- Experience delivering complex software systems involving deep learning, machine learning, or computer vision to customers.
- Previous work on agents or LLMs.
Pay
202,200.00 - 273,600.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary)
Tools
Gen AI, ML, NLP, Information Retrieval, Analytics, Java, C++, Python
AI focus
Develop generative AI solutions and recommendation systems for creating and improving advertising campaigns and shopper experiences; research and apply Gen AI and ML techniques.
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