Machine Learning Engineer, AICE AI Center of Excellence

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 Amazons 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 availability enabling consumption by other teams and product owners across the organization
* Architect solutions suitable for production environments maintaining best practices in reliability scalability observability and operational excellence
* Contribute to AICEs mission of driving AI transformation through best practices in AI-driven development implementation processes and operationalization within your area of expertise
* Establish and evolve engineering standards that raise the bar for how AI primitives are built tested deployed and maintained

A day in the life
Every day brings new challenges. You might design experimentation tooling to validate primitives refine our codebase for operational excellence or work through technical challenges with partners integrating AICE primitives into their products. Other days youll monitor production systems and support teams consuming our models.

No two weeks look the same. Youll move fluidly between deep technical work and collaborative problem-solving - always with the goal of building AI primitives that are trusted reliable and impactful at enterprise scale.

About the team
AICE is a team of scientists and machine learning engineers building the AI primitives that power Amazons intelligent systems. We develop and harden reusable capabilities for broad consumption by product teams across the enterprise - and partner with those teams to integrate them.

- Experience programming with at least one software programming language
- Bachelors degree or above in computer science
- Experience leading design teams in problem definition artifact rendering cross-functional collaboration and delivery and user validation and measurement
- 2 years of non-internship professional software development experience
- 1 years of experience designing or architecting systems (design patterns reliability and scaling) for production AI/ML workloads
- 1 years of experience building hardening and operationalizing AI/ML solutions - from experimentation through production deployment
- Strong foundation in traditional software development practices (code reviews testing debugging version control CI/CD) with the ability to also leverage AI-assisted development tools effectively
- Experience building reusable libraries frameworks or platform capabilities consumed by other engineering teams

- 2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Masters degree in computer science or equivalent
- Experience in machine learning data mining information retrieval statistics or natural language processing

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. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.

CAN BC Vancouver - 114800.00 - 191800.00 CAD annually