Jobs in Canada

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Added 1 month ago
IT
System Administrator
Ideon Technologies
Richmond, BC
- Full-time
By transforming muon data into reliable 3D density maps, Ideon helps geologists identify, map, characterize, and monitor mineral deposits with confidence. This reduces risk and cost of…
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Winter Co-op 2027 – Technology Enablement Analyst
Manulife
Toronto, ON
- Full-time
Currently pursuing an undergraduate degree in Computer Science, Engineering, Information Systems, Business Technology, Data Science, Business, or a related field.
Added 1 month ago
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Data Scientist Student – Winter 2027
J.D. Irving, Limited
Saint John, NB
- Full-time
Currently enrolled in a Bachelor’s program in Data Science, Computer Science, Math, or related field.
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Automation Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
You Must Have:
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Automation Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
You Must Have:
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Software Engineering Intern (Winter 2027)
Harvey
Remote, Canada
- $45 to $55 CAD / hour
- Internship
- Remote
Depending on your team, you could work on retrieval over large document collections, interfaces for collaborating with AI systems, multi-region compute infrastructure, enterprise agents, or…
Added 1 month ago
Security Engineer, AI Security
Amazon
Vancouver, BC
…models, and responsible AI - we're right here on the journey with…
Added 1 month ago
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Thermal Mechanical Engineering Undergraduate Intern, GPU Platforms
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
You must possess the below minimum qualifications to be initially considered for this position
Added 1 month ago
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Epidemiology & Real-World Science Intern
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
…epidemiologic methods, observational research design, biostatistics, or data analysis. Experience with epidemiologic data analysis and programming languages or tools such as SAS, R, Python,…
Added 1 month ago
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Graphics Hardware Validation Undergraduate Engineering Intern
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
You must possess the below minimum qualifications to be initially considered for this position
Added 1 month ago
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Customer Experience Engineer
Elation Health
Canada
- Full-time
1–5+ years of experience in Engineering, data analytics, or AI/automation tinkering in any field - OR a degree in Computer Science, Engineering, or a related technical field, plus real…
Added 1 month ago
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Quality Assurance Intern (Winter 2027, 12months)
Hitachi
Toronto, ON · (RSBU) Toronto
- $23 to $30 CAD / hour
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 1 month ago
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Intern, Aircraft Performance (Winter 2027)
Bombardier
Montreal, QC
- Volunteer
The Aircraft Performance team is responsible for providing certified and operational performance data that defines the capabilities of our aircraft. We contribute to the development of new…
Added 1 month ago
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Software Development Internship (Summer 2027)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Currently pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field, with a graduation date no…
Added 1 month ago
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Intern, AI Data Developer (Winter)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
As an AI Data Developer Intern on the Advanced Compliance Products (ACP) team at Autodesk, you will help build and scale the data pipelines, models, and platform integrations that power…
Added 1 month ago
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Intern, AI/ML Platform (Winter)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
You will collaborate with platform engineers and applied ML researchers to help scale training, evaluation, and deployment pipelines, and contribute to research-driven prototypes that…
Added 1 month ago
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Data Scientist, Risk Modeling & Analytics
Financeit
Remote, Canada
- Full-time
- Remote
Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep…
Added 1 month ago
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Software Automation Developer Intern
Exegy
Remote, Canada
- Full-time
- Remote
Exegy is a global leader in intelligent market data, advanced trading systems, and future-proof technology. Exegy serves as a trusted partner to the complete ecosystem of the buy-side,…
Added 1 month ago
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Data Scientist, Risk Modeling & Analytics
Financeit
Toronto, ON
- $75,000 to $100,000 CAD / year
- Full-time
Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep…
Added 1 month ago
Software Engineering Intern 2027 (Toronto)
Pinterest
Toronto, ON
This onsite internship will be based in our Toronto office requiring a few days in office
Added 1 month ago
Machine Learning Intern 2027 (Toronto)
Pinterest
Toronto, ON
This onsite internship will be based in our Toronto office requiring a few days in office
Added 1 month ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
…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…
Added 1 month ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
…application code and train neural networks using both raw 3D capture data that requires cleaning and high-fidelity, artist-tuned reference assets. You will build and refine models that…
Added 1 month ago
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Summer Research Professional Intern - Generalist
Analysis Group
Montreal, QC
- Full-time
Applicants must have at least a 3.3 GPA or higher in their most recent degree to be considered
Added 1 month ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions…

Electronic Arts

AI Engineer Intern

Vancouver, BC, Canada

Apply on jobs.ea.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 1, 2026

Original job description

General Information

Locations: Vancouver, British Columbia, Canada

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

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.

Apply on jobs.ea.com About employer

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 Bachelor's degree program in Computer Science, Electrical Engineering, or a related field. Proficiency in Python, Deep Learning frameworks, and experience with cloud platforms and containerization tools is required.

Skills

Python
PyTorch
Deep learning
Machine learning
Cloud computing
AWS
GCP
Azure
Docker
Kubernetes
CI/CD
Terraform
Generative AI
LLM
Data modeling

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
Infrastructure
Cloud-based
Generative AI
Python
PyTorch
Docker
Kubernetes
AWS
GCP
Azure
Terraform
Databricks
Snowflake
Trino
Redshift
Spark
LLM
Diffusion models
CI/CD
Data lakehouse
Software engineering
Model training
Real-time applications

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Work requirements

Jobs in Canada