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General Information

Locations: Vancouver, British Columbia, Canada 
Role ID
212681
Worker Type
Regular Employee
Studio/Department
EA Studios - SPORTS
Work Model
Hybrid

Description & Requirements

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.

EA SPORTS is redefining how games are made and played. We are driving meaningful change across the industry, and every team member contributes to shaping the future of interactive entertainment. Creativity, innovation, and technology come together here to deliver experiences enjoyed by millions of players worldwide.

About the Team

The FC Generative AI team researches and develops machine learning–powered features that elevate the player experience and transform how fans interact with EA SPORTS FC.

The Opportunity

You will join a cross-functional team responsible for taking ML initiatives from early research and ideation through full production integration into live game features. This role sits at the intersection of cutting-edge AI and real-time interactive systems.

What You Will Do

  • Research and evaluate machine learning models across areas such as automatic speech recognition, natural language processing, and procedural content generation.
  • Adapt and optimize models to meet gameplay requirements and platform constraints and integrate them into core game systems.
  • Develop and ship player-facing features powered by ML.
  • Collaborate closely with engineers, designers, and partner teams to bring features from concept to launch.
  • Share knowledge through demonstrations and presentations, promoting ML best practices across the team.
  • Stay current with advancements in AI and machine learning and work with internal experts and external technology partners to prototype new opportunities within FC.

Required Qualifications

  • Bachelor’s degree in computer science, Mathematics, or a related field, or equivalent professional experience.
  • Strong programming fundamentals with proficiency in at least one language (C++, Python, Java, or C# preferred).
  • Professional experience with AI and machine learning tools and frameworks.
  • Proven experience building, deploying, and maintaining ML applications in production environments.
  • Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.

Preferred Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience with ML frameworks such as PyTorch or TensorFlow.
  • Experience optimizing ML models for real-time, memory- and compute-constrained environments.
  • Experience working with large-scale datasets (GBs/TBs).
  • Experience with cloud platforms and technologies (for example, containers, Kubernetes, Azure, or AWS).

Pay Transparency - North America

COMPENSATION AND BENEFITS 

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). 

PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD

Pay is just one part of the overall compensation at EA.
For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.


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.
LinkedInID
74884070