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

Electronic Arts is seeking 2 x AI/ML Software Engineer Co-op Masters students to join their Quality Verification and Standards (QVS) 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 Intelligence.

The QVS team plays a crucial role in delivering cutting-edge entertainment experiences by providing actionable insights to optimize software performance and elevate gameplay. As an intern, you will be responsible for:

• Gathering use-case requirements from partner teams and organizations
• Researching possible solutions, running experiments, providing proofs of concept, demonstrating results, and providing recommendations
• Improving 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:

• You must be legally authorized to work in Canada for the entire internship (visa sponsorship is not available)
• You must be a Masters student enrolled in an accredited degree program and return to school for at least one semester following your internship with EA
• You must be graduating in May 2028 or later, including the time needed to complete your internship
• Relocation support may be available if you meet specific eligibility criteria

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, including supervised and unsupervised learning techniques
• 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 with the ability to research, experiment, and prototype solutions for 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 partner teams and stakeholders
• Proactive mindset with a demonstrated ability to independently complete tasks, run experiments, and escalate technical issues appropriately
• Creative and logical thinking skills focused on building effective and efficient tools for quality verification (QV) processes
• Familiarity with the game of soccer and EA Sports gaming portfolio is an asset

Benefits:

• Electronic Arts offers a holistic approach to employee benefits, focusing on physical, emotional, financial, professional, and community well-being
• Programs are designed to respond to local needs and may include medical coverage, mental wellness support, retirement savings, paid time off, parental leave, free games, and more