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

Electronic Arts Ltd; Vancouver; On-site; CAD 65,000 - 70,000; Part time

Benefits offered by this job

Relocation support

Job summary

Electronic Arts in Vancouver is seeking two AI/ML Software Engineer Co-op Masters students to assist with experimental R&D within EA’s Sports Quality Verification Engineering organization. You will focus on the Machine Learning and Artificial Intelligent domain to drive tools for QA processes.

You must be a Masters student eligible to work in Canada, returning to school after the internship, and available for a period that includes May 2028 or later. Relocation support may be available.

Qualifications

• Pursuing a Master's degree in CS/AI and returning to school after internship.
• Experience with ML fundamentals and model updating.
• Proficiency in Python, C++, or C# for development.
• Ability to document results and communicate with partner teams.

Responsibilities

• Gather use-case requirements from partner teams.
• Conduct experiments, proofs of concept, and document results.
• Improve existing solution implementations.
• Update ML models and datasets.
• Productize ML solutions for partners.
• Provide documentation and gather feedback.

Skills

ML fundamentals

Python

C++

C#

SDLC & Git

Experimentation

Technical writing

LLM prompting

Requirements gathering

Team collaboration

Education

Master's degree in CS/AI

Tools

Git

Jupyter

Job description

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Our Quality Verification and Standards (QVS) team is an integral part of our development process, consistently delivering actionable insights that support our game teams to optimize software performance and elevate gameplay. Their dedicated efforts ensure that we deliver cutting-edge entertainment experiences that captivate and inspire players and fans globally.

We’re looking for2 xAI/ML Software Engineer Co-op Masters studentsto join our team. You will be responsible for assisting with our experimental Research and Development (R&D) work within EA’s Sports Quality Verification Engineering organization. Primarily, this work will focus on the Machine Learning and Artificial Intelligent domain and will be the foundation for our next generation of tools and solutions for driving effectiveness and efficiencies in our QV process. The successful candidates will play a pivotal role in this transformation.

We encourage candidates from all backgrounds who meet the core requirements to apply, even if you do not meet every qualification.

Primary Responsibilities

• Gathering use-case requirements from our partner teams and organizations.
• Providing research into possible solutions, running experiments, providing proofs of concept, demonstrating your 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 our partners.
• Providing documentation and gathering feedback from our 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 begraduating 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 elevate 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.

Pay Transparency - North America

• 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.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

About Electronic ArtsWe're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

Electronic Arts is an equal opportunity employer. All 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. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.