Amazon
Sr. Applied Scientist, AppStar Data Analytics & Engineering
$184K–$249K
New York, NY · Senior · Full-time · Posted Aug 10, 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
Leads the development and deployment of machine-learning and graph-based systems that help Amazon assess and prioritize application security risks.
What you'll do
- Design, develop, and deploy ML models for application security prioritization, complexity scoring, and risk assessment.
- Build production ML pipelines and graph-based models using AWS services.
- Lead scientific research, experimentation, evaluation, and collaboration to turn model outputs into actionable security intelligence.
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.
- 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, scipy.
- Experience with large scale distributed systems such as Hadoop, Spark.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
AWS, S3, Glue, SageMaker, Neptune, Java, C++, Python
AI focus
Develops ML-driven application security risk-scoring, prioritization, complexity-scoring, and graph-based systems.
Model-written summary · the original posting is authoritative