Job Overview Our Advanced Technology Group is part of 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!ResponsibilitiesStay current withcutting-edge research in Machine Learning , continuously evaluating how new ideas can be applied to games.Invent and build ML-driven solutionsfor complex problems incharacter animation, agent behavior, physics simulation, and content generation .Design and implementproduction-ready ML systemsthat respect real-worldgame development constraintssuch as performance, tooling, and iteration speed.Createintuitive, easy-to-use workflowsthat reduce repetitive manual work while empowering creators to move faster and think bigger.Give usersmeaningful creative controlover model behavior, making experimentation, iteration, and debugging fast and approachable.Optimize models and pipelinesto minimize training and inference time without sacrificing quality.Evaluate, extend, and improve bothinternal and external ML technologies , pushing them further for game-specific use cases.Work closely withcontent creators and software engineersto ensure tools aremaintainable, effective, and genuinely enjoyable to use .QualificationsABachelor’s degreeinComputer 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 asgenerators, decorators, and context managers .A solid foundation inlinear 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 fromresearch paper to working system , balancing innovation with usability and performance.Pay Transparency - North America 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).Compensation & Benefits 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 equity.Equal Opportunity Employment 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.#J-18808-Ljbffr