AI/ML Software Engineer Co-op Intern

Electronic Arts; Vancouver; Hybrid; CAD 65,000 - 70,000; Full time

Benefits offered by this job

Relocation support

Job summary

Electronic Arts in Vancouver, BC invites two Master’s students to join the Quality Verification and Standards (QVS) team as AI/ML Software Engineer Co-op interns. You will assist with experimental R&D in AI/ML, focusing on ML, data updates, and tooling for QV processes.

Applicants must be enrolled in a master's program and plan to return to school after the internship. The role emphasizes progressing ML models, documenting results, and collaborating with partner teams while working in a hybrid

Qualifications

• Working toward a Master's degree in Computer Science, AI, 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.

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.

Skills

Machine learning fundamentals

Python

C++

C#

LLM prompts

SDLC

Git

Analytical thinking

Communication

Education

Master's degree in Computer Science, AI, Software Engineering, or related

Tools

Git

Job description

Locations : Vancouver, British Columbia, Canada Role ID 216234 Worker Type Intern - Temporary Employee Studio/Department EA Studios - Quality Verification Work Model Hybrid

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 for 2 x AI/ML Software Engineer Co-op Masters students to 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 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 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.

About Electronic Arts

We’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.

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.

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.