Amazon's AI Center of Excellence (AICE) is on a mission to build the intelligence layer that powers Amazon's enterprise-wide systems — and they're looking for a Machine Learning Engineer to help make it happen in Vancouver, BC . You'll own the full lifecycle of AI/ML primitives , from early experimentation all the way through to production-grade, reusable capabilities consumed across the entire organization. Day to day, you'll move fluidly between deep technical problem-solving and hands-on collaboration with partner product teams.

One day you might be designing experimentation tooling to validate new primitives; the next, you're refining production systems for operational excellence or helping a partner team integrate an AICE capability into their product.

About the Role: Machine Learning Engineer, AICE AICE builds AI primitives — foundational, reusable capabilities that power Amazon's intelligent systems at scale. As a Machine Learning Engineer on this team, you'll take ownership of building and hardening these primitives so they're reliable, scalable, and ready for broad consumption by product-owning teams across Amazon. The role demands strong grounding in both traditional software engineering (code reviews, CI/CD, testing, version control) and AI/ML development practices .

You'll be expected to architect solutions that meet production standards for reliability and observability, establish engineering norms that raise the bar across AICE, and contribute to Amazon's broader AI transformation agenda. The base salary range for this position in Vancouver, BC is $114,800 to $191,800 CAD annually. Total compensation at Amazon may also include sign-on payments and Restricted Stock Units (RSUs). health insurance (medical, dental, vision, prescription, basic life and AD&D;) Registered Retirement Savings Plan (RRSP) Job Type: Full-Time Pay:



$114,800 - $191,800 CAD annually Own end-to-end development of AI/ML primitives — from ideation and experimentation through architecture, implementation, testing, and production deployment Contribute to 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 Amazon is looking for an engineer who has already demonstrated the ability to take AI/ML solutions from experimentation to production — and who brings solid software engineering fundamentals alongside that ML expertise.

Bachelor's degree in computer science or equivalent field ~2+ years of professional software development experience (excluding internships), with experience in at least one programming language ~1+ years building and operationalizing AI/ML solutions , from experimentation through production deployment ~1+ years designing or architecting systems (design patterns, reliability, scaling) for production AI/ML workloads ~ Robust software engineering fundamentals : code reviews, testing, debugging, version control, and CI/CD — with the ability to leverage AI-assisted development tools effectively ~ Experience building reusable libraries, frameworks, or platform capabilities consumed by other engineering teams ~ Master's degree in computer science or equivalent is preferred, as is experience in machine learning, data mining, information retrieval, statistics, or natural language processing 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; 1+ years of experience building, hardening, and operationalizing AI/ML solutions from experimentation through production deployment;

experience building reusable libraries, frameworks, or platform capabilities consumed by other engineering teams. #

📌 Machine Learning Engineer, AICE - AI Center of Excellence (Vancouver)
🏢 Amazon Development Centre Canada ULC
📍 Vancouver