Electronic Arts

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine the gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness cutting-edge technology to uncover what makes games fun for humans.

We are seeking a PhD Machine Learning Scientist candidate with strong Machine Learning skills and research experience in world models and/or generative AI. Our aim is to discover new technologies and interactive experiences that will redefine gameplay. This paid position reports to the Head of Research & Innovation. Your co-op term will be May 11 - August 28, 2026. You will be working in a hybrid work environment for 3 days per week from our EAV Studio in Burnaby.

Your Responsibilities

• Conduct research on generative world models and their applications in video games.

• Collaborate with researchers and game developers to brainstorm, discuss, and implement innovative solutions.

• Design and implement cutting-edge machine learning algorithms by analyzing and refining ML techniques to enhance model performance.

• Develop a proof of concept to demonstrate interactive experiences using world models.

• Work with cross-functional teams to communicate research plans and progress.

• Write reports and present research findings internally.

• Explore opportunities to share your work through publications and open-source contributions.

Your Qualifications

• You must be available for the entire duration of the work term with us.

• You must return to school for at least one semester following your co-op experience with us.

• Currently pursuing a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence or a related field.

• Experience with programming languages like Python or C++.

• Proficient in machine learning frameworks such as PyTorch or TensorFlow.

• Skills in training machine learning models, including data collection, implementation, and evaluation.

• Publications, presentations or related contributions in world models or generative AI.

Resume Information:

• You must clearly indicate your expected graduation date in your resume to be considered.

• Clearly list any publications you have authored.

• Are you interested in games? Let us know!

• Are you involved in any extra-curricular activities or clubs? We want to hear about them!

We are only considering students who can work in Canada, will be enrolled in an accredited degree program throughout this Co-op, and slated to graduate December 2027 or later. You must be legally authorised to work in Canada on a full-time basis during the 8 month Co-op term. Visa sponsorship and relocation are not available for this position.