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Machine Learning Engineer, AICE - AI Center of Excellence
Amazon
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Vancouver, Canada
Location
Vancouver
Posted
July 01, 2026
Commute
Local Area
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Job Description
Description
The AI Center of Excellence (AICE) builds AI primitives that power system-intrinsic intelligence and Trusted Intelligent Knowledge Infrastructure for both AI-as-a-Consumer and human users. We develop AI capabilities independently and in partnership with product-owning teams to evolve Amazon's AI-driven operations and productivity. Our impact is enterprise-broad and global.
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise.
Key job responsibilities
* Own the end-to-end development of AI/ML primitives - from ideation and experimentation through architecture, implementation, testing, and production deployment
* Drive the integration of AICE primitives into partner products, collaborating closely with product-owning teams to ensure seamless adoption and value delivery
* Design, test, and harden primitives for general availabili...
The AI Center of Excellence (AICE) builds AI primitives that power system-intrinsic intelligence and Trusted Intelligent Knowledge Infrastructure for both AI-as-a-Consumer and human users. We develop AI capabilities independently and in partnership with product-owning teams to evolve Amazon's AI-driven operations and productivity. Our impact is enterprise-broad and global.
We are looking for a Machine Learning Engineer who can take an idea from experimentation to a hardened, reusable primitive ready for broad consumption across the enterprise.
Key job responsibilities
* Own the end-to-end development of AI/ML primitives - from ideation and experimentation through architecture, implementation, testing, and production deployment
* Drive the integration of AICE primitives into partner products, collaborating closely with product-owning teams to ensure seamless adoption and value delivery
* Design, test, and harden primitives for general availabili...