About the Role

The Quality Verification and Standards (QVS) team is an integral part of the development process, delivering actionable insights that help game teams optimise software performance and elevate gameplay. The role involves assisting with experimental Research and Development (R&D;) work within EA’s Sports Quality Verification Engineering organisation, with a primary focus on machine learning and artificial intelligence. This work will form the foundation for next-generation tools and solutions that drive effectiveness and efficiencies in the quality verification process. The successful candidate will play a pivotal role in this transformation.

Key Responsibilities

- Gather use-case requirements from partner teams and organisations.
- Research possible solutions, run experiments, provide proofs of concept, demonstrate results, and provide recommendations.
- Provide improvements to existing solution implementations.
- Update existing machine learning models and enhance data sets.
- Help productise AI/ML solutions and roll them out to partners.
- Provide documentation and gather feedback from partners.

Required Experience & Qualifications

- Must be legally authorised to work in Canada for the entire internship; visa sponsorship is not available.
- Must be a Masters student enrolled in an accredited degree program and return to school for at least one semester following the internship with EA.
- Must be graduating in May 2028 or later, including the time needed to complete the internship.
- Working towards a Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
- Practical experience or solid 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 optimisation 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 escalated technical issues appropriately.
- Creative and logical thinking skills focused on building effective and efficient tools for quality verification (QV) processes.

Preferred Skills

- Familiarity with the game of soccer and EA Sports gaming portfolio is an asset.

Salary

- British Columbia (depending on location, e.g. Vancouver vs. Victoria): $65,000 - $70,000 CAD.
- Pay is just one part of the overall compensation at EA.

Benefits & Perks

- Relocation support may be available if specific eligibility criteria are met.

About the Company

The team's dedicated efforts ensure the delivery of cutting‑edge entertainment experiences that captivate and inspire players and fans globally.

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📌 AI/ML Software Engineer Intern (Summer 2027 - 8-Months - Masters - QVS) (Vancouver)
🏢 Global Sports Jobs
📍 Vancouver