Amazon
Applied Scientist, AWS Payments and Fraud Prevention
$143K–$193K
Seattle, WA · Full-time · Posted Sep 23, 2026
- Experience
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience; 3+ years building models for business applications.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
About the job
Designs and deploys machine-learning systems to detect and prevent fraud and account risks across AWS.
What you'll do
- Build, evaluate, monitor, and improve fraud-detection models and strategies using large-scale data.
- Apply GenAI methods, including LLMs, synthetic data generation, and adversarial simulations, to strengthen fraud defenses.
- Collaborate with engineering, product, and operations teams to develop scalable solutions and communicate findings.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
- 3+ years of experience building models for business applications.
- Programming experience in Java, C++, Python, or a related language.
- Experience designing state-of-the-art deep-learning architectures and training, optimizing, and pruning deep-learning models; plus experience in at least one listed area, such as data mining or numerical optimization.
Nice to have
- Experience in security-related areas such as application security, cloud security, AI security, or threat intelligence.
- Experience with Data & AI technologies or communicating technical concepts to non-technical audiences.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, GenAI, LLMs
AI focus
Develop fraud-detection machine-learning models and apply GenAI, LLMs, synthetic data generation, and adversarial simulations to discover fraud patterns and improve defenses.
Model-written summary · the original posting is authoritative