Jobs in Canada

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Added 1 month ago
BP
Machine Learning Intern – Summer 2027
BNP Paribas
Montreal, QC
- Internship
Currently enrolled in a Master’s or PhD program at a Canadian university in a quantitative field such as AI/ML, data science, computer science, engineering, operations research, statistics,…
Added 1 month ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 1 month ago
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eTrading Full Stack Engineering - Network
HSBC
Toronto, ON
- Full-time
You’ll join the eTrading infrastructure engineering team responsible for resilient deterministic and low-latency network services supporting electronic trading platforms. This hands-on role…
Added 1 month ago
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eTrading Full Stack Engineering - Compute
HSBC
Toronto, ON
- Full-time
Join our eTrading infrastructure engineering team in Markets & Securities Services Information Technology, building deterministic, secure and highly available compute platforms supporting…
Added 1 month ago
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eTrading Engineering Lead
HSBC
Toronto, ON
- Full-time
…Regional Head of electronic Trading (eTrading) Infrastructure Engineering in Toronto, Canada. This role owns the regional infrastructure engineering capability supporting latency-sensitive…
Added 1 month ago
E
Stagiaire en apprentissage automatique
Ericsson
Montreal, QC
- Full-time
Expérience en développement logiciel et programmation (Java, Python, bibliothèques d'apprentissage automatique)
Added 1 month ago
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Linux Development Engineer - eLxr Distribution
Aptiv
Ottawa, ON
- Full-time
Must reside in the Austin, Texas area and be able to work onsite
Added 1 month ago
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Linux Development Engineer - eLxr Distribution
Aptiv
Ottawa, ON
- Full-time
Must reside in the Austin, Texas area and be able to work onsite
Added 1 month ago
CP
Full Stack Solutions Developer
CAAT Pension Plan
Toronto, ON
- Full-time
Python experience for automation, scripting, data handling, or workflow support.
Added 1 month ago
KB
Product Growth Marketing Manager, Lifecycle & GTM Systems
KidKare by MinuteMenu
Canada
- Full-time
…through various tactics. You’ll be involved in managing the CRM, data enrichment, prospect scoring, routing, & lifecycle marketing. You'll report to our VP of Revenue Operations and work…
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
…architecture, design, and delivery of next-generation cloud-native data and application platforms. This role is ideal for a senior technology leader who combines deep engineering expertise…
Added 1 month ago
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Security Engineer
LiveKit
Canada
- Full-time
Our customers trust us with audio, video and data belonging to their own end users, so a security failure on our side puts their data and their business at risk. We are hiring Security…
Added 1 month ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 1 month ago
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Advisor, Analytics Consulting
TransUnion
Burlington, ON
- Full-time
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Finance, Data Science, or a related quantitative field, or equivalent experience.
Added 1 month ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON
- Full-time
…statistics, economics, finance, mathematics, computer science, or…
Added 1 month ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON · Markham, ON
- Full-time
Core skills: SQL, Python for data analytics; statistics;
Added 1 month ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Our Security Engineering team protects Scribd's applications and cloud infrastructure. We take a proactive, shift-left approach, integrating security throughout the software development…
Added 1 month ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
…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…
Added 1 month ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Preprocess and analyze data to ensure model accuracy and performance.
Added 1 month ago
Software Developer- RPA / UiPath Specialist
Open Text Corporation
Mississauga, ON
As a Software Developer specializing in Robotic Process Automation (RPA), UiPath, and emerging agentic AI technologies, you will design, develop, deploy, and support intelligent automation…
Added 1 month ago
HC
Remarketing Analytics Associate
Hyundai Capital Canada
Toronto, ON
- Full-time
Position Details: The Associate will support Remarketing analytics by maintaining dashboards and reports, improving data processes, and contributing to reporting, forecasting, and modelling…
Added 1 month ago
AC
Pharmaceutical Data Scientist
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
We are seeking a highly skilled Data Scientist to join our pharmaceutical analytics and digital innovation team. This role plays a key part in transforming scientific, clinical,…
Added 1 month ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
…tests, run them by hand, maintain regression coverage, and write Python automation. You'll also work closely with Product Owners and Managers so acceptance criteria are clear, testable and…

Electronic Arts

AI Engineer Intern (Masters)

Vancouver, BC, Canada

Apply on jobs.ea.com About employer

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

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 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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Work requirements

Jobs in Canada