Applied Scientist, AWS Payments and Fraud Prevention

Are you passionate about solving complex problems and protecting one of the worlds largest cloud platforms The AWS Payments and Fraud Prevention team is looking for an innovative Applied Scientist to help keep AWS a safe and trusted environment for millions of customers worldwide.
In this role you will design build and deploy machine learning models that detect prevent and mitigate fraudulent activity across the AWS ecosystem. You will work with massive real-world datasets develop new detection strategies and apply advanced and practical technologies to tackle ever-evolving threats. You will also explore Generative AI (GenAI) techniques to uncover new fraud patterns and strengthen our fraud defenses.
At AWS we support hundreds of thousands of businesses powering billions of transactions every day. Fraudsters are constantly innovating and so are we. If you enjoy thinking like a fraudster building resilient defenses and making a real-world impact we invite you to join us and help shape the future of secure cloud computing.

Key job responsibilities
* Design build and deploy machine learning models to detect prevent and mitigate fraudulent activities across the AWS platform.
* Analyze large-scale behavioral transactional and historical datasets to uncover fraud patterns and emerging threats.
* Explore and apply GenAI techniques including large language models (LLMs) synthetic data generation and adversarial simulations to enhance fraud detection capabilities.
* Collaborate closely with engineering product and operations teams to translate business needs into scalable technical solutions.
* Experiment prototype and iterate on new detection strategies algorithms and evaluation metrics.
* Continuously monitor model performance and improve robustness against adversarial behaviors and evolving fraud tactics.
* Communicate findings and technical insights clearly and effectively to both technical and non-technical audiences.
* Contribute to the broader fraud prevention strategy driving innovation and best practices across the organization.

About the team
AWS Payments and Fraud Prevent is responsible for detecting & mitigating AWS account risks. Youll be part of a team of Scientists Analysts and Technical & non-Technical Program Managers. The teams goal is to identify and neutralize fraudsters from unauthorized access to legitimate AWS customers accounts.

We have a formal mentor search application that lets you find a mentor that works best for you. Your manager can also help you find a mentor or two because two is better than addition to formal mentors we work and train together so that we are always learning from one another and we celebrate and support the career progression of our team members.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience with any combination of the following: application security frameworks identity and access controls incident response mobile security cloud computing and security AI security threat intelligence and penetration testing
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Experience communicating technical concepts to non-technical audiences or experience in similar environments

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually