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Added 20 days ago
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Edge ML Engineer
Mecka
Richmond Hill, ON
- $170,000 to $190,000 CAD / year
- Full-time
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Added 20 days ago
SM
Trust & Safety Engineer - Hapiko
Spin Master
Toronto, ON
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 20 days ago
DT
UNPAID VOLUNTEER - Chief Technology Officer (CTO)
Digital Technology Institute for Development (DTID)
Remote, Canada
- Part-time
- Remote
Identify and develop strategic technology partnerships with research institutions, technology organisations, governments, international organisations and other relevant stakeholders.
Added 20 days ago
VC
Développeur fiscal - Ingénieur de données | Tax Developer - Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Advanced SQL and Python skills, with strong data analysis fundamentals.
Added 20 days ago
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Junior Quality Control Software Developer
Ecolab
Calgary, AB · CAN-Calgary Plant Starfield
- Full-time
We have an exciting opportunity for a Quality Control Software Developer (Junior) to join our team in Calgary, Alberta. In this role, you will support the development, maintenance, and…
Added 20 days ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong programming skills in Python, with the ability to develop modular, testable, maintainable, and production-quality software
Added 20 days ago
EI
Python Developer
Extend Information Systems Inc.
Mississauga, ON
- Full-time
At least 8 years of experience as a Python Developer.
Added 20 days ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
Advanced knowledge in Python and SQL and working with large data sets
Added 20 days ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
…of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management,…
Added 20 days ago
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PhD Researcher, AI Research
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Excellent Programming and software development skills, with experience in Python
Added 20 days ago
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Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Work with large, complex datasets and build statistical/ML models.
Added 20 days ago
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Intern, AI Machine Learning Developer
The Home Depot
Canada
- Full-time
We are seeking an AI Developer who is enthusiastic about artificial intelligence and has hands-on experience with various AI models. This role is ideal for someone who has spent some time…
Added 20 days ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
Strong programming ability in Python and experience working with modern ML and data tooling.
Added 20 days ago
CO
Director, Data Science
Capital One
Toronto, ON
- Full-time
We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you’ll take full accountability for your path,…
Added 20 days ago
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Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
In this role, you will collaborate with a Solution Architect, Technical Lead, Product Owner, Software Developer, as well as quality engineering, security partners, and business stakeholders…
Added 20 days ago
BG
Business Intelligence and AI Intern (12 Months)
BMW Group
Richmond Hill, ON
- Internship
…areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the…
Added 20 days ago
BP
Machine Learning Intern – Summer 2027
BNP Paribas
Montreal, QC
- Internship
During the four-month internship, you will contribute to an applied research project aligned with the Lab’s priorities. These projects explore advanced AI capabilities for our solutions and…
Added 20 days ago
E
Stagiaire en apprentissage automatique
Ericsson
Montreal, QC
- Full-time
Expérience en développement logiciel et programmation (Java, Python, bibliothèques d'apprentissage automatique)
Added 20 days ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part…
Added 20 days ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part…
Added 20 days ago
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Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON
- Full-time
Hands-on experience with Python for statistical analysis and modeling or SAS is a must (Python preferred)
Added 20 days ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON · Markham, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 20 days ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
…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…
Added 20 days ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 20 days ago
AC
Pharmaceutical Data Scientist
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
The ideal candidate combines strong analytical expertise, solid experience working with complex datasets, and a deep understanding of pharmaceutical or life sciences environments.

Electronic Arts

AI Engineer Intern (Masters)

Vancouver, BC, Canada

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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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