Senior Machine Learning Engineer

Job Description

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 creating transformational changes in how games are made and played. At EA SPORTS, everyone contributes to creating the future of entertainment, building a community where creativity and new ideas excel.
The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to invent new kinds of gaming experiences by leveraging recent advances in technology 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 Senior Machine Learning Engineer, reporting to the Head of Research and Innovation, you will build the framework and tools necessary to drive our research strategy and innovation roadmap. You will work closely alongside our researchers to develop cutting edge models, 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; empowering experimentation, scaling up new discoveries, and contributing to a strategy that brings the future of gaming to life at EA SPORTS.

Your Responsibilities
• Own and drive the technical strategy behind our research roadmap, exploring frontier technologies that will shape the future of Sports Gaming and interactive entertainment.
• Partner deeply with research teams to design, run, and iterate on experiments-hands-on, from implementing machine learning models to building advanced training pipelines.
• Lead efforts in large-scale training, inference optimization, and fine-tuning, pushing both model performance and production efficiency.
• Design and build research platforms, tooling, and data systems that dramatically increase research velocity, including data acquisition, curation, and experimentation workflows.
• Translate research breakthroughs into prototypes and compelling interactive demos that clearly communicate value and accelerate adoption by game teams.
• Stay ahead of the curve on cutting-edge ML technologies-including diffusion models, generative techniques, and emerging AI frameworks-and propose ambitious, high-impact research initiatives.
• Work directly with game teams to understand real production challenges, then craft scalable strategies for integrating research into live and future titles.
• Collaborate across engineering, research, and game development to align efforts and accelerate innovation across the entire portfolio.
Your Qualifications
• A Master's degree or PhD in Computer Science, Mathematics, or a related technical field, or equivalent advanced industry experience.
• 5+ years of hands-on experience developing, training, and optimizing machine learning models in real-world systems.
• A strong technical foundation with a proven ability to bridge research and engineering, turning ideas into shipped capabilities.
• Deep, practical experience implementing ML models, including training at scale, inference optimization, and fine-tuning workflows.
• Familiarity with diffusion models or other state-of-the-art generative approaches.
• A demonstrated track record of turning novel research ideas into robust, impactful implementations that move projects forward.
• Experience with modern AI/ML frameworks, platforms, and tooling, and a strong intuition for how ML can enhance games or interactive systems.
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.

Jobcode: Reference SBJ-z35jmq-216-73-216-4-42 in your application.