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. #J-18808-Ljbffr

📌 Full-Stack Machine Learning Engineer at EA (Vancouver)
🏢 Electronic Arts
📍 Vancouver