Amazon
Sr. Applied Scientist, Amazon Ads
$150K–$260K
Boston, MA +9 · Senior · Full-time · Posted Dec 9, 2025
- Location
- Boston, MA
Corvallis, OR
Sunnyvale, CA
Boulder, CO
Seattle, WA
Santa Monica, CA
New York, NY
Brooklyn, NY
Palo Alto, CA
Tukwila, WA - Experience
- 5+ years building machine learning models for business application; alternatively, a PhD or a Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Researches, develops, and deploys machine-learning solutions for Amazon Ads, spanning advertising ranking, personalization, creative optimization, and measurement.
What you'll do
- Research, build, experiment with, and deploy ML models, including generative AI and large language models.
- Lead end-to-end projects at massive scale and design A/B experiments to measure business impact.
- Develop scalable model-development and deployment processes that balance advertiser outcomes with customer experience.
What they ask for
- 5+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 6+ years of applied research experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Pay
USD $167,100 - $226,100 annually (base salary); USD $150,400 - $260,000 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MxNet, Tensorflow, Hadoop
AI focus
Research and deploy generative AI, large language models, and other ML solutions for advertising, including ranking, personalization, natural language processing, computer vision, recommender systems, and optimization.
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