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Added just now
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 14 mins ago
Senior Bigdata Developer
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Mississauga, ON
Full-time
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Added 30 mins ago
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Vancouver, BC
Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
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Added 59 mins ago
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Senior Platform Engineer – RPA & Automation : Toronto, ON : Hybrid : Full time
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DevOps Developer
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Added 6 hours ago
Senior Security Detection Engineer (Global Security)
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Electronic Arts (EA)

AI Engineer Intern

Vancouver, BC, Canada

Job type: Temporary
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Applications open in a new tab.

Original job description

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 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 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

British Columbia (depending on location e.g. Vancouver vs. Victoria) *$65,000 - $70,000 CAD

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.

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More about this job

Responsibilities

Develop and operate scalable, secure cloud-based AI infrastructure supporting the machine learning lifecycle, from data analysis and model development through validation and deployment. Collaborate with data scientists, ML engineers, producers, and game developers to integrate AI solutions into live services and optimize platform and model performance, security, scalability, and cost.

Requirements

Applicants should be enrolled in a relevant degree program and have proficiency in Python and PyTorch, along with experience in cloud platforms, CI/CD, containers, orchestration, and production machine learning deployments. Experience with data lakehouse technologies and generative AI is also sought; the posting specifies a full-time, paid 16-week summer 2026 internship and Canadian work authorization, with no visa sponsorship.

Skills

PyTorch
Python
Deep Learning
Machine Learning
AI Platform Development
CI/CD
Docker
Kubernetes
Cloud Computing
AWS
Google Cloud Platform
Microsoft Azure
Terraform
Machine Learning Model Deployment
Data Lakehouse Solutions
Generative AI

Benefits

Healthcare Coverage
Mental Well-Being Support
Retirement Savings
Paid Time Off
Family Leave
Complimentary Games

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
AI Platform
Deep Learning
PyTorch
Python
CI/CD
Docker
Kubernetes
Cloud Computing
AWS
Google Cloud Platform
Microsoft Azure
Terraform
Machine Learning Lifecycle
Model Training
Model Fine-Tuning
Model Validation
Model Deployment
Real-Time Applications
Data Lakehouse
Snowflake
Trino
Amazon Redshift
Apache Spark
Diffusion Models
Large Language Models
Live Services
Infrastructure as Code

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