Amazon
Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction
$167K–$260K
New York, NY +2 · Senior · Full-time · Posted Sep 16, 2026
- Location
- New York, NY
SEATTLE, WA
Palo Alto, CA - Experience
- 3+ years building machine-learning models for business applications; 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
Develops machine-learning and generative AI solutions for personalized ad response prediction and optimization across Sponsored Products and Brands.
What you'll do
- Analyze data to identify business insights, gaps, and opportunities; run A/B experiments and statistical analyses.
- Build scalable machine-learning models and optimization strategies, including research into new ML and Generative AI solutions.
- Partner with software engineers to productionize end-to-end solutions and improve analytics, training, deployment, and serving at scale.
What they ask for
- 3+ years of experience building machine-learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a 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, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 183,800.00 - 248,700.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Tensorflow, Hadoop, Spark
AI focus
Research and develop machine-learning and Generative AI solutions for ad response prediction, shopper understanding, and optimization across the advertising lifecycle.
Model-written summary · the original posting is authoritative