AI/ML Software Engineer Intern (Summer 2027 - 8-Months - Masters - QVS)
Role Overview
Two AI/ML Software Engineer Co-op master's students will support experimental R&D in EA Sports Quality Verification Engineering.
Work focuses on machine learning and artificial intelligence tools and solutions to improve quality verification processes.
The internship is scheduled for summer 2027 and lasts eight months.
Key Skills for This Role
Full Job Posting
Internship overview
Two AI/ML Software Engineer Co-op master's students will support experimental R&D in EA Sports Quality Verification Engineering.
Work focuses on machine learning and artificial intelligence tools and solutions to improve quality verification processes.
The internship is scheduled for summer 2027 and lasts eight months.
Primary responsibilities
- Gather use-case requirements from partner teams and organizations.
- Research solutions, run experiments, create proofs of concept, demonstrate results, and provide recommendations.
- Improve existing solution implementations, update machine learning models, and enhance datasets.
- Help productize AI/ML solutions and roll them out to partners.
- Document work and gather partner feedback.
Eligibility requirements
- Must be legally authorized to work in Canada for the full internship; visa sponsorship is unavailable.
- Must be enrolled in an accredited master's degree program and return to school for at least one semester after the internship.
- Must graduate in May 2028 or later, including the internship period.
Qualifications
- Working toward 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.
- Proficiency in Python, C++, or C#; familiarity with existing model updates, fine-tuning, and dataset enhancement.
- Proficiency in agentic workflows and LLM prompt optimization; understanding of SDLC, engineering practices, and Git.
- Strong problem-solving and analytical skills, research and prototyping ability, and basic requirements-gathering knowledge.
- Technical writing, documentation, stakeholder communication, independent task completion, and appropriate escalation skills.
- Soccer and EA Sports gaming portfolio familiarity is an asset.
Pay transparency
- British Columbia pay transparency lists CAD 65,000–CAD 70,000, depending on location; no pay cadence is stated.
Application information
- Resume must state expected graduation date; applicants should describe their role in relevant projects and submit a cover letter.
- Relocation support may be available to candidates meeting eligibility criteria.
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