Applied Science Manager, GenAI, Trust and Store Integrity Science

The TSI Science team seeks an experienced Applied Science Manager with deep expertise in deep learning and generative AI to lead the development of cutting-edge multi-modal systems. You will manage a team of applied scientists and set the technical direction for building agentic systems that transform multimedia content understanding.

This role offers a unique opportunity to create products impacting thousands of professionals while driving operational efficiency at scale. Youll shape Amazons intelligent platform that converts multi-modal digital evidenceincluding images documents video audio and biometricsinto structured data and actionable insights. The platform automates content processing across seller buyer and vendor workflows accelerating decision-making enhancing seller experience detecting fraud and reducing manual intervention in critical business processes.


Key job responsibilities
As an Applied Science Manager on the TSI Science team you will:

* Lead development of novel algorithms and modeling techniques advancing the state-of-the-art in multimodal systems
* Drive direct customer impact through products and services leveraging vision and language technology
* Accelerate team development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision
* Build agentic systems for automation at scale



- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Proven experience building machine learning models or developing algorithms for business applications
- Proficiency in Java C Python or related languages
- Experience with deep learning libraries (PyTorch TensorFlow MxNet)
- Research publications in computer vision deep learning or machine learning at peer-reviewed venues
- PhD or Masters degree with 5 years of applied research experience

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- PhD in Computer Vision Computer Science Electrical Engineering Mathematics or related field
- Experience leading mentoring and growing teams of five or more scientists
- Track record of patents or publications at top-tier peer-reviewed conferences or journals
- Expertise with PyTorch and other popular deep learning frameworks
- Experience with multi-modal LLMs and GenAI in Computer Vision across image and video domains

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 - 183800.00 - 248700.00 USD annually