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 pipelines
• Deploy models for gaming platforms with specific constraints
• Enhance Large Language Model performance for engaging content




• Collaborate cross-functionally to implement impactful features
• Advocate for best practices through presentations and demos

Requirements:
• Bachelor’s degree in Computer Science or a similar field
• Expertise in deploying and fine-tuning LLMs
• Strong programming skills in Python, C++ or Java
• Experience with Databricks, Trino, and Airflow
• Proven history of ML application development

Shape the future of sports gaming by applying your machine learning skills at EA.
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📌 Full-Stack Machine Learning Engineer at EA (British Columbia)
🏢 Electronic Arts
📍 British Columbia