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The Lifecycle Management (LCM) AI Solutions team at Electronic Arts is seeking a Machine Learning Engineer to build and scale global-scale production ML systems. This role involves optimizing ML systems with vectorDB integration and semantic search, developing testing processes for model accuracy, collaborating with MLOps teams, leading design discussions with stakeholders, and translating product requirements into technical specifications to improve player engagement.

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">General Information</h3><p class="my-4 text-gray-700 leading-relaxed">Role ID</p><p class="my-4 text-gray-700 leading-relaxed">211720</p><p class="my-4 text-gray-700 leading-relaxed">Worker Type</p><p class="my-4 text-gray-700 leading-relaxed">Regular Employee</p><p class="my-4 text-gray-700 leading-relaxed">Studio/Department</p><p class="my-4 text-gray-700 leading-relaxed">CT - Data & Insights</p><p class="my-4 text-gray-700 leading-relaxed">Work Model</p><p class="my-4 text-gray-700 leading-relaxed">Hydrid</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description & Requirements</h3><p class="my-4 text-gray-700 leading-relaxed">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.</p><p class="my-4 text-gray-700 leading-relaxed">The Lifecycle Management (LCM) AI Solutions team at EA delivers Machine Learning Solutions at scale. We empower our studio partners with scalable data and ML systems that bring insights directly to their fingertips.</p><p class="my-4 text-gray-700 leading-relaxed">As a Machine Learning Engineer, you will build global-scale production systems. You will create advanced analytics data products and autonomous platforms that improve decision-making and significantly impact layer engagement.</p><p class="my-4 text-gray-700 leading-relaxed">You will report to the Technical Director of AI/ML.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>Responsibilities:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You will optimize and scale ML systems for production, focusing on vectorDB integration and semantic search approaches.</li><li class="leading-relaxed">You will develop testing and validation processes to ensure model accuracy and reliability, including load and latency assessments.</li><li class="leading-relaxed">You will collaborate with our platform and MLOps team to enhance model pipeline efficiency.</li><li class="leading-relaxed">You will lead discussions with stakeholders and our internal partners for designing and implementing ML models.</li><li class="leading-relaxed">You will work with MLE and MLOps TDs in adopting new technologies and platforms for improved deployment and scalability.</li><li class="leading-relaxed">You will translate product requirements into technical specifications in collaboration with product management.</li><li class="leading-relaxed">You will report on project progress and product updates to senior management.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Qualifications:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6+ years of industry experience</li><li class="leading-relaxed">Knowledge of Machine Learning, MLOps, and model production, including vectorDB and search methodologies.</li><li class="leading-relaxed">Experience designing, maintaining, and scaling ML systems.</li><li class="leading-relaxed">Familiarity with platforms like AWS and GCP, as well as CI/CD practices.</li></ul><p class="my-4 text-gray-700 leading-relaxed">This is a hybrid remote/in-office role.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>COMPENSATION AND BENEFITS</strong></p><p class="my-4 text-gray-700 leading-relaxed">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).</p><p class="my-4 text-gray-700 leading-relaxed"><strong>PAY RANGES</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">British Columbia (depending on location e.g. Vancouver vs. Victoria) *$119,600 - $167,300 CAD</li></ul><p class="my-4 text-gray-700 leading-relaxed">In 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.</p><p class="my-4 text-gray-700 leading-relaxed"><strong><em>About Electronic Arts</em></strong></p><p class="my-4 text-gray-700 leading-relaxed">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.</p><p class="my-4 text-gray-700 leading-relaxed">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.</p><p class="my-4 text-gray-700 leading-relaxed">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.</p><p class="my-4 text-gray-700 leading-relaxed">LinkedInID</p><p class="my-4 text-gray-700 leading-relaxed">1449</p>

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