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.

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