Amazon
Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance
$143K–$193K
Seattle, WA · Full-time · Posted Oct 22, 2026
- Experience
- 3+ years of building models for business application experience.
About the job
Develops machine-learning and AI systems to detect and prevent prohibited transactions with denied entities across Amazon businesses.
What you'll do
- Researches, designs, and develops ML/AI models and systems for products and services.
- Collaborates across teams to understand business needs and rapidly prototype, test, and improve solutions.
- Communicates technical findings and recommendations to stakeholders.
What they ask for
- 3+ years of building models for business application experience.
- Experience building machine learning models or developing algorithms for business application.
- Programming experience in Java, C++, Python or a related language.
Nice to have
- Experience with generative deep learning models such as CNNs, GANs, VAEs and NF.
- Experience in deep learning architecture design, training, optimization, and model pruning.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, CNNs, GANs, VAEs, NF
AI focus
Builds machine-learning and generative AI/LLM-powered detection and resolution systems for denied-party screening.
Model-written summary · the original posting is authoritative