Location: Orlando, FL
Company: Electronic Arts
### **General Information** **Locations**: Orlando, Florida, United States of America Role ID 213585 Worker Type Regular Employee Studio/Department EA Studios - Quality Verification Work Model Hybrid ### **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. **About the Role** We are looking for an enthusiastic Software Engineer with a focus on Machine Learning to help build predictive models and targeted ML solutions across our test solutions for FC franchise. As part of the embedded FC Quality Verification Engineering team, you will work with senior engineers. You will implement foundational ML designs, predicting the impact of code changes, catch game exploits early, and build automated testing solutions for complex new game features. You will report to our Technical Director. **You will:** - Change Impact Analysis: Help build machine learning models that learn from multiple data to predict code change impacts and help engineers make safer, high-quality changes faster. - Game Simulation Modelling: Train models using diverse data sources to forecast and ensure realistic in-game simulations and identifies potential issues before release. - Feature Validation: Help design LLM-driven automated testing frameworks to verify state changes at scale. - Collaboration: Partner with embedded Quality Engineers and central AI/ML teams to integrate targeted ML models into local developer workflows. **Qualifications & Skills:** - BSc in Computer Science, Engineering, or equivalent experience. - 1-2 years of software engineering or ML experience. - Proficiency in Python, C++, or other backend languages. - Knowledge in ML engineering, including model training, evaluation, and continuous le
This is a visa-sponsored position. Apply at avisajob.com/jobs/1771083818045