Amazon
Applied Scientist, Perfect Order Experience (POE)
$143K–$193K
Seattle, WA · Full-time · Posted Sep 16, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master's degree and 4+ years of relevant field experience.
- Education
- PhD, or Master's degree and 4+ years of science, technology, engineering, or related field experience.
About the job
Develop and deploy domain-specific foundation models for product risk detection, seller interactions, seller behavior prediction, and simulated seller responses.
What you'll do
- Develop domain-specific foundation models.
- Apply models to product risk detection, seller interactions, seller behavior prediction, and seller response simulation.
- Collaborate with business teams and engineers to develop and deploy solutions.
What they ask for
- 3+ years of experience building models for business applications.
- PhD, or a Master's degree and 4+ years of experience in science, technology, engineering, or a related field.
- Experience with patents or publications in top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python, or a related language, and applying theoretical models in an applied environment.
Nice to have
- PhD.
- Experience designing state-of-the-art deep learning architectures and performing deep learning training, optimization, and model pruning.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
GenAI, Large language model, tabular foundation model, behavior foundation model, Java, C++, Python
AI focus
Develop and apply GenAI and domain-specific foundation models, including language, tabular, and behavior models, for product risk detection and seller-related applications.
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