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Added 5 mins ago
Data Engineer - Analytics
Capgemini
Montreal, QC
Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
Added 5 mins ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 19 mins ago
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- Full-time
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Ottawa, ON
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- Full-time
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ContactMonkey
Toronto, ON
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Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 20 mins ago
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Software Engineer I
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Toronto, ON
- Full-time
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Added 35 mins ago
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Senior Data Engineer
Scene+
Toronto, ON
- Full-time
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Added 49 mins ago
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Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
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AI Workflow Engineer
Outlier AI
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Added 1 hour ago
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Cloud Architect
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Toronto, ON
- $60 to $80 CAD / hour
- Contract
🚀 Hiring: Senior Business Intelligence Engineer / Cloud Architect
Added 1 hour ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
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QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity’s mission is to enable…
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Data Engineer, Investments
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Montreal, QC · Quebec, QC
- Full-time
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LLM Evaluation Engineer
HCLTech
Canada
- Full-time
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Toronto, ON
- Full-time
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Toronto, ON
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Vancouver, BC
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Added 3 hours ago
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Applications Engineer
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Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
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Senior Hydraulics and Capacity Engineer
South Bow
Calgary, AB · Manulife Place
- Full-time
We are seeking a Senior Hydraulics and Capacity Engineer to provide technical leadership and strategic oversight of operational capacity management for South Bow's crude oil pipeline…
Added 4 hours ago
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Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and…
Added 4 hours ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…

Electronic Arts

AI Engineer Intern (Masters)

Vancouver, BC, Canada

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Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 6, 2026

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 Masters 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.

General Information

Locations: Vancouver, British Columbia, Canada

Role ID

216223

Worker Type

Intern - Temporary Employee

Studio/Department

CT - Infrastructure & Platform

Work Model

Hybrid

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More about this job

Responsibilities

Develop and maintain scalable AI infrastructure components to support the end-to-end machine learning lifecycle. Collaborate with cross-functional teams to integrate machine learning solutions into live services and optimize platform performance.

Requirements

Candidates must be currently enrolled in a Master's degree program in Computer Science, Electrical Engineering, or a related field. Proficiency in Python, Deep Learning frameworks, and cloud-based machine learning platforms is required.

Skills

Python
PyTorch
Docker
Kubernetes
AWS
GCP
Azure
Terraform
Databricks
Snowflake
Trino
Redshift
Spark
Generative AI
Machine learning
Cloud infrastructure

Benefits

Healthcare coverage
Mental well-being support
Retirement savings
Paid time off
Family leaves
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Machine Learning
Generative AI
Cloud Computing
Infrastructure
Python
PyTorch
Docker
Kubernetes
AWS
GCP
Azure
Terraform
Databricks
Snowflake
Trino
Redshift
Spark
CI/CD
Data modeling
Model training
Live services
Software engineering
Platform development
LLM
Diffusion models
Scalability
Real-time applications
Game development
Data analysis

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