AI/ML Software Engineer Intern (Summer 2027 - 8-Months - Masters - QVS)

Electronic Arts creates entertainment, inspiring players and fans worldwide. The Quality Verification and Standards (QVS) team is an integral part of the development process, delivering actionable insights to optimize software performance and elevate gameplay.

We're looking for 2 x AI/ML Software Engineer Co-op Masters students to join the team. The successful candidates will assist with experimental Research and Development (R&D) work within EA's Sports Quality Verification Engineering organization, focusing on Machine Learning and Artificial Intelligent domain.

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 roll them out to partners.
• Providing documentation and gathering feedback from partners.

Requirements:

• Legally authorized to work in Canada for the entire internship.
• Masters student enrolled in an accredited degree program, returning to school for at least one semester following the internship.
• Graduating in May 2028 or later.

Qualifications:

• Working towards a Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Practical experience or strong academic background in machine learning fundamentals.
• Proficiency in programming languages such as Python, C++, or C#.
• Familiarity with updating existing machine learning models, fine-tuning, and enhancing datasets.
• Demonstrated proficiency in agentic workflows and Large Language Model (LLM) prompts optimization.
• Understanding of software development life cycles (SDLC), engineering best practices, and collaborative version control tools like Git.
• Strong problem-solving and analytical skills.
• Basic knowledge or experience in gathering use-case requirements and translating them into technical specifications.
• Aptitude for technical writing and communicating findings.
• Proactive mindset with a demonstrated ability to independently complete tasks.
• Creative and logical thinking skills.
• Familiarity with the game of soccer and EA Sports gaming portfolio is an asset.

Benefits:

• Comprehensive benefits package, including physical, emotional, financial, professional, and social well-being.
• Relocation support may be available.