About the role
Company Overview
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. The company fosters a community that connects across the globe, prioritizing creativity, new perspectives, and innovation. The Quality Verification and Standards (QVS) team is integral to the development process, delivering actionable insights to optimize software performance and elevate gameplay.
Role Overview
Electronic Arts is seeking 2 AI/ML Software Engineer Co-op Masters students to assist with experimental Research and Development (R&D) within the Sports Quality Verification Engineering organization. This role focuses on Machine Learning and Artificial Intelligence to build the next generation of tools and solutions for driving effectiveness and efficiencies in the Quality Verification (QV) process.
Primary Responsibilities
- Gathering use-case requirements from partner teams and organizations.
- Providing research into possible solutions, running experiments, providing proofs of concept, demonstrating results, and providing recommendations.
- Providing improvements to existing solution implementations.
- Updating existing Machine Learning models and enhancing data sets.
- Helping to productize AI/ML solutions and rolling them out to partners.
- Providing documentation and gathering feedback from partners.
Requirements
- Legally authorized to work in Canada for the entire internship (no visa sponsorship available).
- Currently enrolled in a Masters degree program in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
- Must return to school for at least one semester following the internship.
- Must be graduating in May 2028 or later.
- Relocation support may be available if eligibility criteria are met.
Qualifications
- Practical experience or strong academic background in machine learning fundamentals (supervised and unsupervised learning).
- Proficiency in programming languages such as Python, C++, or C# for software and model development.
- Familiarity with updating existing machine learning models, fine-tuning, and enhancing datasets for performance.
- Demonstrated proficiency in agentic workflows and the optimization of Large Language Model (LLM) prompts.
- Understanding of software development life cycles (SDLC), engineering best practices, and collaborative version control tools like Git.
- Strong problem-solving and analytical skills for research, experimentation, and prototyping R&D challenges.
- Basic knowledge or experience in gathering use-case requirements and translating them into technical specifications.
- Aptitude for technical writing, documenting experimental results, and communicating findings to stakeholders.
- Proactive mindset with the ability to independently complete tasks, run experiments, and escalate technical issues.
- Creative and logical thinking skills for building tools for quality verification (QV) processes.
- Familiarity with the game of soccer and EA Sports gaming portfolio is an asset.
Application Instructions
- Clearly indicate the expected graduation date on the resume.
- Submit examples of relevant projects, games, or tools (including links). If the project was collaborative, describe the specific individual role.
- Include information regarding interest in games, including game jams, mods, engine projects (Unreal, Unity, Godot), or clubs.
- Include information regarding involvement in extra-curricular activities or clubs.
- Submit a cover letter explaining interest in the team and the position.
Compensation and Benefits
- Salary: $65,000 - $70,000 CAD (British Columbia, depending on location).
- Benefits: Holistic approach including healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, and complimentary games.
Equal Opportunity
Electronic Arts is an equal opportunity employer. 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. EA considers qualified applicants with criminal records in accordance with applicable law and provides workplace accommodations for disabilities.