Elevate your career at EA SPORTS FC as a Full-Stack Machine Learning Engineer. This hybrid role emphasizes deploying cutting-edge machine learning models for unique gameplay experiences.Reporting to the Senior Data Science Manager, you'll play a critical role in developing and operationalizing machine learning pipelines. Engage directly with game teams to ensure robust integration of high-performance systems tailored for personalized user experiences. Your creative approach and technical acumen will drive significant advancements in our platforms.Key Responsibilities:Manage and optimize end-to-end machine learning pipelinesDeploy models for gaming platforms with specific constraintsEnhance Large Language Model performance for engaging contentCollaborate cross-functionally to implement impactful featuresAdvocate for best practices through presentations and demosRequirements:Bachelor's degree in Computer Science or a similar fieldExpertise in deploying and fine-tuning LLMsStrong programming skills in Python, C++ or JavaExperience with Databricks, Trino, and AirflowProven history of ML application developmentShape the future of sports gaming by applying your machine learning skills at EA.#J-18808-Ljbffr

📌 Full-Stack Machine Learning Engineer At Ea (Vancouver)
🏢 Electronic Arts
📍 Vancouver