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. This isn't a role where you'll be handed a narrow slice of work. 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 current primitives;
the next, you're refining production systems for operational excellence or helping a partner team integrate an AICE capability into their product. If you thrive on variety and want your work to have enterprise-broad, global impact, this team is built for that.
About the Role: Machine Learning Engineer, AICEAICE 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. You'll also drive integration efforts, working closely with those partner teams to ensure seamless adoption and real value delivery.
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.
Benefits and SalaryThe 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).
Final compensation is determined based on experience, qualifications, and location.
health insurance (medical, dental, vision, prescription, basic life and AD&D;)
Registered Retirement Savings Plan (RRSP)
Deferred Profit Sharing Plan (DPSP)
paid time off
additional resources to support health and well-being
Job DetailsJob Type:
Full-Time
Company:
Amazon Development Centre Canada ULC
Location:
Vancouver, BC, Canada
Pay:
$114,800 - $191,800 CAD annually
Responsibilities
Own end-to-end development
of AI/ML primitives — from ideation and experimentation through architecture, implementation, testing, and production deployment
Drive 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 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
Monitor production systems




and support teams consuming AICE models day to day
Requirements / SkillsAmazon 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. Strong communicators who can collaborate effectively with cross-functional partner teams will stand out in this role.
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
Strong 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;
experience designing orarchitecting new and existing systems;
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.
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📌 Machine Learning Engineer, Aice - Ai Center Of Excellence (Winnipeg)
🏢 Amazon Development Centre Canada ULC
📍 Winnipeg