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

**Company**: Electronic Arts
**Location**: Vancouver, British Columbia
**Work arrangement**: hybrid
**Job type**: internship
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/fr_CA/careers/JobDetail/AI-ML-Software-Engineer-Intern-Summer-2027-8-Months-Masters-QVS/216234?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_10e86763-c64

## Description

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

## Skills

### Required
- Machine Learning
- Artificial Intelligence
- Python
- C++
- C#
- Software Development Life Cycles (SDLC)
- Git
- Large Language Model (LLM) prompts
- Agentic workflows

### Nice to have
- Familiarity with the game of soccer
- EA Sports gaming portfolio

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/fr_CA/careers/JobDetail/AI-ML-Software-Engineer-Intern-Summer-2027-8-Months-Masters-QVS/216234?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)