Sr. Manager of Applied Science Catalog Services, Product Knowledge GenAI

The Catalog Services Product Knowledge team is seeking a Sr. Applied Science Manager for leading initiatives for understanding and scaling organization of product schema information. Our vision is simple: build AI systems that are capable of a deep product understanding so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes values constraints) to be modeled to cover all the Amazon products worldwide. You will lead a team of experienced Applied Scientists (direct reports) to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages.

The leader will drive investments in machine learning natural language processing GenAI to solve real world problems at scale. The teams output affects the velocity at which we build product schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata classification of entities validation of concepts against customer traffic creation of agents solving complex tasks mimicking human decisions at high precision etc; all these developments drive true understanding of products at scale.

We are looking for an entrepreneurial experienced Sr. Applied Science Manager who can turn a group of Machine Learning Scientists (PhDs in NLP ML GenAI) to produce best in class solutions. The ideal candidate has deep expertise in one or several of the following fields: Generative AI Agents LLMs Web search Applied/Theoretical Machine Learning Deep Neural Networks Classification Systems Clustering Natural Language Processing. S/he has a strong publication record at relevant academic venues and proven experience in launching products/features in the industry.


Key job responsibilities
In this team you will:
- Manage business and technical requirements design be responsible for the overall coordination quality productivity and will be the primary point of contact for world-wide stakeholders of programs and goals that you lead.
- Partner with scientists economists and engineers to help deliver scalable ML scaled models while building mechanisms to help our customers gain and apply insights and build road maps for the projects you own.
- Track service levels and schedule adherence and ensure the individual stakeholder teams meet and exceed their performance targets.
- Be expected to discover define and apply scientific engineering and business best practices.
- Manage and develop Applied Scientists (direct reports with a respective team).


About the team
The teams mission is to infer knowledge understand and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised guide Selling Partners inform models how to infer attributes. All this information drives the navigational Taxonomy Search and Detail Page experiences impacting million of customers. This is an already formed team with experience leading programs spanning services and ML initiatives. The leader collaborates closely with Software Managers Sr. Leaders and has exposure to multiple peer teams at Amazon who rely on this teams developments.

- 10 years of building large-scale machine learning and AI solutions at Internet scale experience
- Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- 10 years of practical work applying ML to solve complex problems for large-scale applications experience
- 5 years of hands-on work in big data machine learning and predictive modeling experience
- 5 years of people management experience
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience in professional software engineering & best practices for the full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence

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 - 218800.00 - 295900.00 USD annually