AI Engineer Intern

Electronic Arts; Vancouver; Hybrid; CAD 22,000 - 28,000; Full time

Benefits offered by this job

Hybrid work model

Paid internship

Job summary

Electronic Arts is offering a full-time paid summer internship in Vancouver within the Infrastructure & Platform Services (IPS) team. You will contribute to building AI/ML platform components, and work with cross-functional teams to deploy scalable AI solutions for live game services.

As an intern, you will gain hands-on experience with cloud platforms (AWS, GCP, Azure), Databricks, and Gen AI technologies while collaborating with data scientists, ML engineers, and game developers to deliver

Qualifications

• Currently enrolled in a Bachelor'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.

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 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 ML 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.

Skills

Python

PyTorch

CI/CD

Docker

Kubernetes

AWS

GCP

Azure

Databricks

Terraform

Snowflake

Redshift

Spark

Gen AI

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Databricks

Snowflake

Redshift

Spark

Job description

Role ID

216223

Worker Type

Intern - Temporary Employee

Studio/Department

CT - Infrastructure & Platform

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer essential platforms such as Cloud, Commerce, AI, Gameplay Services, Identity, and Social. By delivering reusable capabilities, we enable game teams to seamlessly integrate our services, allowing them to concentrate on crafting some of the world's best games and fostering meaningful connections with players. As the driving force behind the scenes, we ensure everything works in harmony. Join us in shaping the future of play.

The Challenge Ahead

The AI Platform team delivers centralized AI resources across all Electronic Arts franchises, crafting AI and Generative AI solutions alongside a shared AI infrastructure for company-wide application. Our team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent development. We provide solutions and platforms that empower the future of game development, marketing, sales, and player experiences.

As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.

You will report to the Senior Manager of the AI Platform team.

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.

Qualifications:

• Currently enrolled in a Bachelor'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 Bachelor's students who will be enrolled in an accredited degree program in the summer of 2027, slated to graduate no earlier than December 2027 . 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.

Pay Transparency - North America

Pay is just one part of the overall compensation at EA.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.