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 responsibilitiesOwn the end‐to‐end development of AI/ML primitives – from ideation and experimentation through architecture, implementation, testing, and production deploymentDrive the integration of AICE primitives into partner products, collaborating closely with product‐owning teams to ensure seamless adoption and value deliveryDesign, test, and harden primitives for general availability, enabling consumption by other teams and product owners across the organizationArchitect solutions suitable for production environments, maintaining best practices in reliability, scalability, observability, and operational excellenceContribute to AICE's mission of driving AI transformation through best practices in AI‐driven development, implementation processes, and operationalization within your area of expertiseEstablish and evolve engineering standards that raise the bar for how AI primitives are built, tested, deployed, and maintainedEvery day brings current 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 teamAICE 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 QualificationsExperience programming with at least one software programming languageBachelor's degree or above in computer science2+ years of non‐internship professional software development experienceExperience leading design teams in problem definition, artifact rendering, cross‐functional collaboration and delivery, and user validation and measurement1+ years of experience designing or architecting systems (design patterns, reliability, and scaling) for production AI/ML workloads1+ years of experience building, hardening, and operationalizing AI/ML solutions – from experimentation through production deploymentStrong foundation in traditional software development practices (code reviews, testing, debugging, version control, CI/CD) with the ability to also leverage AI‐assisted development tools effectivelyExperience building reusable libraries, frameworks, or platform capabilities consumed by other engineering teamsPreferred Qualifications2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceMaster's degree in computer science or equivalentExperience in machine learning, data mining, information retrieval, statistics or natural language processingAmazon is an equal‐opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

📌 Machine Learning Engineer, Aice - Ai Center Of Excellence (Vancouver)
🏢 Amazon
📍 Vancouver