Sr. Manager, Applied Science, Catalog AI, Selection and Catalog Systems
18 minutes ago
We develop LLM applications that make Catalog the best-in-class source of product information for all products worldwide. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries) and multitude of input sources (millions of sellers contributing product data with different quality).
You will lead the Amazon Catalog Science team and own devising the strategy and execution plans that power initiatives ranging from: developing tuning artifacts on top of foundational LLMs, training ML models, performing fact extraction, automatic detection of missing product information, active learning mechanisms for scaling human tasks, building applications for distilling product information, building mechanisms to analyze product composition, ingest images, text, and unstructured data to drive deep understanding of products at scale.
The right candidate will be a leader who lives and breathes innovation. They'll foster a culture where creative thinking is celebrated and bold ideas can take root. Most importantly, they'll be able to transform this innovative spirit into tangible results, skillfully guiding the team from inspiring vision to real-world impact through careful execution of our strategic roadmap.
10+ years of building AI models for business application.
* 5+ years as a science leader or staff/principal level scientist.
* PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience.
Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
* Published research work in academic conferences or industry circles.
* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
* Effective verbal and written communication skills with non-technical and technical audiences.
* Experience working with large real-world data sets and building scalable models from big data.
* Thinks strategically, but stays on top of tactical execution.
* Exhibits excellent business judgment; balances business, product, and technology very well.
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 you're applying in isn't 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
USA, WA, Seattle - 218, ,900.00 USD annually-
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