Amazon
Sr Applied Scientist, Core Shopping Data Science
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Jul 31, 2026
- Experience
- 3+ years building machine learning models for business applications; PhD, or 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
Build and deploy models that translate LLM quality judgments into online ranking signals, measure how shopping defects affect customers, and validate quality-aware objectives through controlled experiments.
What you'll do
- Model how shopping defects affect customer behavior across sessions, contexts, and surfaces.
- Train and evaluate compact models against LLM-generated labels within online latency and cost budgets.
- Partner with ranking teams to integrate quality signals into ranking objectives and run controlled experiments.
What they ask for
- 3+ 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 MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Distill LLM-generated quality judgments into compact models for online ranking, assess teacher-student divergence, and model customer responses to shopping defects.
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