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Electronic Arts (EA) · 2 weeks ago

AI Engineer Intern

Vancouver, British Columbia, Canada

Internship

Hybrid

Intern

CAD$65K/yr - CAD$70K/yr

Start in 2026 Summer

Electronic Arts (EA) creates next-level entertainment experiences and is seeking high performing students for their internship program. As an AI Engineer Intern, you will develop key AI infrastructure components and establish scalable cloud-based platforms to support machine learning operations across EA's franchises.

ComputerMobilePublishingVideo GamesWeb Development

Responsibilities

Develop key AI infrastructure components to support end-to-end machine learning lifecycle operations

Establish scalable, secure, and reliable cloud-based platforms for large-scale data analysis, model development, validation, and deployment in real-time applications

Design and implement efficient, automated customer-facing processes and workflows that leverage AI platform technologies

Work with producers, data scientists, ML engineers, and game developers to seamlessly integrate machine learning solutions into live services, ensuring effective model deployment and performance in production environments

Design and implement cloud solutions using AWS, GCP, or Azure to support scalable machine learning workloads with high availability

Manage and operate commercial tools and platforms such as Databricks, AWS and GCP

Optimize the platform and deployed models for performance, security, scalability, and cost efficiency in real-time, live environments

Qualification

Deep Learning frameworksPython programmingCloud platformsMachine learning lifecycleCI/CD toolsContainerization toolsData lakehouse solutionsGen AI technologiesTeam collaborationProblem-solving

Required

Currently enrolled in a Master's degree in Computer Science, Electrical Engineering or related fields focusing on AI/ML systems or platform development

Proficiency in Deep Learning frameworks like PyTorch

Proficiency in Python programming

Experience in CI/CD, containerization and orchestration tools such as Docker and Kubernetes

Experience designing and building scalable cloud-based solutions for machine learning lifecycle

Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure

Experience deploying and managing machine learning models in production for real-time applications

Experience with one or more data lakehouse solutions, like Snowflake, Trino, Redshift, or Spark

Experience with Gen AI technologies like diffusion models and LLM

You must be available for a full-time paid internship in the summer of 2026

At this time, we are considering Masters students who will be enrolled in an accredited degree program in the summer of 2026, slated to graduate no earlier than December 2026

Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship

Visa sponsorship is not available for this position

Please ensure that your graduation date is visible on your resume