Electronic Arts

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 and new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Electronic Arts is looking for Bachelors students to join our world-class internship experience. For more information about our Emerging Talent Programme, visit https://www.ea.com/careers/interns-and-university-graduates 

We are looking for a Software Engineering Co-op to join our Lifestyle & Entertainment team. We are looking for a candidate with experience with games to join a veteran team of game developers who are excited to share their experience building AAA games.

This is a paid internship and is open to Canadian students who are set to graduate between December 2026 through June 2027. You will report into an AI Data Scientist for this Co-op.

Responsibilities of the Role:

• Design, implement, and optimize machine learning models and algorithms to enhance AI-driven gameplay and content creation/recommendation systems.

• Develop and maintain core AI tools, libraries, and infrastructure components supporting the end-to-end ML lifecycle from data processing to model deployment.

• Design and implement cloud-based solutions using AWS, GCP, or Azure to support scalable, high-performance machine learning workloads.

• Optimize performance, scalability, and cost efficiency of AI systems and deployed models in production environments.

• Document and present findings through technical reports, demos, and presentations to internal stakeholders.

• Contribute to knowledge sharing through internal publications, open-source engagement, or research initiatives where applicable.

Technical Qualifications:

• Currently enrolled in a Bachelor’s or Master’s degree program in a related field.

• Foundation in machine learning, deep learning, and data-driven system design.

• Proficiency in Python, with experience in deep learning frameworks such as PyTorch

• Familiarity with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g., Docker).

• Experience deploying and managing machine learning models in real-time interactive applications.

• Solid understanding of computer science fundamentals, including algorithms, data structures, and software design principles.

You must be available for a hybrid full-time paid internship out of EA Vancouver Area in the summer of 2026.

We are considering Bachelors students who are enrolled in an accredited degree programme in the summer of 2026, slated to graduate no earlier than December 2026. You must be legally authorised 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. 

About Electronic Arts

We're proud to have a portfolio of games and experiences, locations around the world, and opportunities across EA. We value 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 programmes, emphasising 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, colour, 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.