Join EA SPORTS FC as a Machine Learning Engineer in a hybrid setting. Focus on deploying high-impact machine learning solutions and creating immersive player experiences. In this full-stack role, you will work under the Senior Data Science Manager, ensuring robust software integration for machine learning initiatives.

Your expertise will help operationalize end-to-end pipelines while collaborating across teams to enhance personalized gaming experiences. If you thrive in quick-paced environments and enjoy innovating, this is an ideal fit for you. Key Responsibilities:

- Deploy and maintain end-to-end Machine Learning pipelines
- Implement models on gaming consoles and PCs
- Optimize Large Language Models for immersive content
- Collaborate with game teams to develop key features
- Promote Machine Learning best practices through demonstrations Requirements:
- Bachelor’s in Computer Science or related field
- Experience in LLM deployment and optimization
- Proficient in Python and C++ or Java
- Hands-on experience with Databricks and Apache Airflow
- Proven record of building and maintaining ML applications Leverage your expertise in machine learning to enhance the gaming experience at EA SPORTS FC.

📌 Machine Learning Engineer at EA SPORTS FC (Vancouver)
🏢 Electronic Arts
📍 Vancouver