Amazon
Senior Applied Scientist , Amazon Ads
$167K–$260K
Boston, MA +9 · Senior · Full-time · Posted Jul 30, 2026
- Location
- Boston, MA
Sunnyvale, CA
New York City, NY
Bellevue, WA
Seattle, WA
Arlington, VA
New York, NY
Santa Monica, CA
Washington Dc, MD
Palo Alto, CA - Experience
- 5+ years building ML models for real business applications; an alternate listing states 3+ years. PhD, or Master's degree plus 6+ years of applied research experience.
- Education
- PhD, or Master's degree plus 6+ years of applied research experience.
About the job
Build and deploy machine-learning solutions for Amazon Ads, including generative AI and LLM applications, and measure their impact through experiments.
What you'll do
- Research, build, and deploy production-grade ML models and scalable pipelines for advertising.
- Design experiments to validate hypotheses and measure business impact.
- Collaborate with engineers, product managers, and scientists to improve advertising while balancing customer and advertiser needs.
What they ask for
- 5+ years building ML models for real business applications; an alternate listing states 3+ years building ML models for business applications.
- PhD, or Master's degree plus 6+ years of applied research experience.
- Programming skills in Python, Java, C++, or a related language.
- Hands-on experience with deep learning, neural network methods, and machine learning.
Nice to have
- Experience with modeling tools such as scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy, or R.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary); USD 183,800.00 - 248,700.00 annually (base salary)
Tools
Python, Java, C++, scikit-learn, TensorFlow, PyTorch, Spark MLLib, Hadoop
AI focus
Research and build generative AI and LLM applications for advertising, alongside other ML solutions.
Model-written summary · the original posting is authoritative