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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 revolutionizes the world of gaming by driving transformational changes in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans.
As a Machine Learning Engineer, reporting to the Director of Technology, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work alongside our researchers to streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team's research from concept to reality; empower experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.
Your Responsibilities
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
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.
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 revolutionizes the world of gaming by driving transformational changes in how games are made and played. At EA SPORTS, everyone contributes to crafting the future of entertainment, building a community where creativity and innovation thrive.
The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine gaming experience by integrating innovative technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans.
As a Machine Learning Engineer, reporting to the Director of Technology, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work alongside our researchers to streamline their research and bring our innovations to life. Your mission is to redefine what is possible in gameplay by taking our team's research from concept to reality; empower experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.
Your Responsibilities
- Implement the technical strategy to support our research roadmap, exploring frontier technologies to shape the future of Sports Gaming
- Work with the research team to support experiments with tooling and platforms, and data acquisition and management
- Facilitate the sharing of results through prototypes and compelling interactive demonstrations
- Stay abreast of the latest advancements in relevant technologies and propose impactful projects to inspire creativity
- Collaborate with game teams to understand their technical needs and build strategies to scale and integrate new discoveries
- Collaborate with a diverse range of partners, including research, engineering, and game development teams
- BS in Computer Science, mathematics or related field, or equivalent experience
- Strong technical background, experience working with both research engineering and game development, and a proven track record of delivery
- 3+ years of experience with AI and machine learning, their relevant tools and platforms, and their application in gaming
- Expertise turning new ideas into effective implementations.
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) * $115,100 - $161,200 CAD
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.
Key Skills
Ranked by relevance
machine learning
prototypes
ai
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- Posted
- May 25, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Vancouver
- Company
- EA SPORTS
Industries
Hospitals
Health Care
Non-profit Organizations
Government Administration
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Python Engineer / Test Automation Specialist
2026-06-03
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Not Applicable
Belgium
Government Administration
Engineering
View Job Details
Related
Senior Embedded Machine Learning Engineer (C++)
2026-05-28
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Information Technology
View Job Details
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