Applied Scientist, Regulatory, Intelligence, Safety and Compliance (RISC)

RISCs vision is to make Amazon Earths most trusted shopping destination for safe and compliant products. We do this by protecting customers from products that are unsafe illegal illegally marketed controversial or otherwise in violation of Amazons policies while enabling our Selling Partners (SPs) to offer their broadest selection of safe and compliant products.

We are seeking an exceptional Applied Scientist to join a team of experts in the field of agentic AI GenAI Machine Learning Software Engineers and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art large-language-models (LLMs) multi-modal model mixed with elegant harness engineering and SKILL building to 1) detect illegal and unsafe products across the Amazon catalog; 2) automation safety and compliance content authoring; 3) reasoning over enforcement action to provide actionable insights to Amazon sellers. We work on machine learning problems for content generation multi-modal classification global product taxonomy intent detection information retrieval anomaly and fraud detection agentic AI generative AI and multi-agent system.

This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate meaningful customer impacts while also pursuing ambitious long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image text unstructured and tabular data. You will work on challenging science problems that have not been solved before conduct rapid prototyping to validate your hypothesis and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas.


Key job responsibilities
Design and evaluate state-of-the-art algorithms and approaches in content generation multi-modal classification global product taxonomy intent detection information retrieval anomaly and fraud detection agentic AI generative AI and multi-agent system.
Translate product and CX requirements into measurable science problems and metrics.
Collaborate with product and tech partners and customers to validate hypothesis drive adoption and increase business impact
Key author in writing high quality scientific papers in internal and external peer-reviewed conferences.

A day in the life
Understanding customer problems project timelines and team/project mechanisms
Proposing science formulations and brainstorming ideas with team to solve business problems
Writing code and running experiments with re-usable science libraries
Reviewing labels and audit results with investigators and operations associates
Sharing science results with science product and tech partners and customers
Writing science papers for submission to peer-review venues and reviewing science papers from other scientists in the team.
Contributing to team retrospectives for continuous improvements
Driving science research collaborations and attending study groups with scientists across Amazon

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience in professional software development

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 VA Arlington - 142800.00 - 193200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually