Amazon
Senior Applied Scientist, AWS Billing
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Sep 25, 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
Builds production time-series anomaly detection models to identify issues in AWS usage and invoices and help ensure accurate bills.
What you'll do
- Work with usage metering and bill computation teams to build anomaly detectors.
- Build production models supporting billing accuracy.
- Publish research results and participate in academic work.
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 MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Develop production machine learning and deep learning models for time-series anomaly detection in usage and invoices.
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