Machine Learning Engineer, AICE - AI Center of Excellence

Amazon; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Job summary

Amazon in Vancouver, Canada seeks a Machine Learning Engineer to take AI/ML primitives from ideation to production-ready, reusable components used across the enterprise.

You'll partner with product teams to integrate and deploy AI capabilities, ensuring reliability, scalability, and operational excellence in production environments.

Qualifications

• Bachelor's degree in computer science or equivalent.
• 2+ years of non-internship professional software development experience.
• Experience designing or architecting production AI/ML workloads.
• 1+ years of building, hardening, and operationalizing AI/ML solutions.
• Strong software development practices with version control and CI/CD.
• Experience creating reusable libraries or platforms consumed by teams.

Responsibilities

• Own end-to-end development of AI/ML primitives from ideation to production deployment.
• Drive integration of primitives into partner products with cross-functional teams.
• Design and harden primitives for general availability and broad consumption.
• Architect production-ready solutions with reliability, scalability and observability.
• Evolve engineering standards for AI primitives, testing, and deployment.
• Collaborate to raise the bar on reusable AI capabilities across the org.

Skills

Software development

AI/ML production

Deployment tooling

CI/CD

Collaboration

Education

Bachelor's degree in computer science or equivalent

Master's degree in computer science or equivalent

Job description

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 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 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 AICE's 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, you'll monitor production systems and support teams consuming our models.

No two weeks look the same. You'll 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 Amazon's 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.

Basic Qualifications

• Bachelor's degree in computer science or equivalent
• 2+ years of non-internship professional software development experience
• Experience programming with at least one software programming language
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• 1+ years of experience building, hardening, and operationalizing AI/ML solutions - from experimentation through production deployment
• 1+ years of experience designing or architecting systems (design patterns, reliability, and scaling) for production AI/ML workloads
• 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

Preferred Qualifications

• Master's degree in computer science or equivalent
• 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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. As a total compensation company, Amazon's 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.