Role Overview
EA SPORTS is hiring a entry-level Machine Learning Scientist - Future Opportunities. This is a full-time role in Vancouver. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
**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.
This is a posting for a future opportunity, intended to build a candidate pipeline for upcoming hiring needs
- *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
- *Your Qualifications**
- 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.
- *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**
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.
Frequently Asked Questions
How do I apply for the Machine Learning Scientist - Future Opportunities position at EA SPORTS?
Use the Apply button above to submit your application directly to EA SPORTS. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Scientist - Future Opportunities position at EA SPORTS located?
This position is based in Vancouver. EA SPORTS has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Scientist - Future Opportunities at EA SPORTS earn?
EA SPORTS has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Scientist - Future Opportunities role at EA SPORTS posted?
This role was posted on March 14, 2026 (86 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Machine Learning Scientist - Future Opportunities role at EA SPORTS entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements EA SPORTS has listed.
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