Machine Learning Engineer - EA Sports Advanced Technology

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 one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games. Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on content creation experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles. We are seeking Machine Learning experts with a practical mindset, passionate about creating useful tools and innovative features, eager to see their work impact fellow developers and millions of gamers, who take responsibility for ideation through productization. Reporting to the Lead Development Director, the Machine Learning Engineer will join us in creating intuitive experiences powered by ML, pushing the boundaries of game fidelity and bringing our characters to life! Your Responsibilities Design and train ML and computer vision solutions for complex challenges in 2D and 3D including generative modeling and content generation. Implement and deliver production-ready ML systems that respect real-world game development constraints such as performance, tooling, and iteration speed. Create intuitive, easy-to-use ML powered workflows that reduce repetitive manual work while empowering creators to move faster and think bigger. Optimize production-ready models and pipelines to improve training and inference efficiency while maintaining high output quality. Evaluate, extend, and improve both internal and external ML technologies, pushing them further for game-specific use cases. Work closely with content creators and software engineers to ensure tools are maintainable, effective, and genuinely enjoyable to use. Stay current with cutting-edge research in Machine Learning, continuously evaluating how new ideas can be applied to games. Your Qualifications A Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning, or equivalent practical experience. Expert-level proficiency in Python, with deep hands-on experience writing clean, scalable, and high-performance code. Strong command of advanced language features such as generators, decorators, and context managers. A solid foundation in linear algebra, statistics, and mathematical optimization. 1–2+ years of hands-on Machine Learning experience, with a strong, practical, problem-solving mindset. The ability to take ideas from research papers to the working system, balancing innovation with usability and performance. 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) *$122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. For Canada, 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 other incentive programs. 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.

Design and implement production-ready ML and computer vision solutions for 2D and 3D content generation in games. Create intuitive ML-powered workflows to reduce manual work and optimize model efficiency for game development constraints.

Requires a Bachelor's degree in Computer Science or a related field and 1-2+ years of practical Machine Learning experience. Must have expert-level Python proficiency and a strong foundation in linear algebra and statistics.

• Vacation • Sick time • Paid top-up to EI/QPIP benefits • Extended health/dental/vision coverage • Life insurance • Disability insurance • Retirement plan • Bonus and other incentive programs • Mental well-being support • Complimentary games

• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Machine Learning
• Computer Vision
• Generative Modeling
• Linear Algebra
• Statistics
• Mathematical Optimization
• Content Generation
• Model Optimization
• Software Engineering

• Software
• Technology
• Engineering
• Data & Analytics
• Creative & Media

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Postuler avant le

1 déc. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level