About the Role This role reports to the Senior Data Science Manager and focuses on operationalizing, deploying, and scaling high-impact machine learning solutions and end-to-end pipelines that power personalized in-game experiences. As a key member of a multidisciplinary team, the engineer acts as a bridge between technical engineering and strategic business objectives, ensuring robust software integration for machine learning initiatives. The ideal candidate thrives in a dynamic environment, balancing applied technical execution with cross-team collaboration.

Key Responsibilities - Deploy and maintain end-to-end Machine Learning pipelines to ensure robust data delivery and optimal model performance.

- Deploy Machine Learning models directly on target devices like gaming consoles and PC, optimized for specific platform constraints.
- Execute Large Language Model deployment and optimization for generative content and immersive in-game systems.
- Share technical knowledge by engaging with game teams to develop and ship high-impact features.
- Promote Machine Learning best practices through presentations and interactive demonstrations to elevate the team's craft.
- Stay abreast of latest ML advancements and prototype current application opportunities within the FC franchise.

Required Experience & Qualifications - Possess a BS in Computer Science, Mathematics, or a related field, or equivalent professional engineering experience.





- Demonstrate experience with Large Language Model deployment, fine-tuning, and retrieval-augmented generation techniques.
- Exhibit strong computer programming fundamentals with proficiency in Python and C++ or Java.
- Apply hands-on experience with Databricks, Trino, and Apache Airflow to manage production data and model workflows.
- Provide a proven record of building, deploying, and maintaining Machine Learning applications within productized software.
- Maintain experience deploying models on edge devices across the entire Machine Learning lifecycle.

Benefits & Perks - 3 weeks of vacation per year to start

- 10 days per year of sick time
- Paid top-up to EI/QPIP benefits up to 100% of base salary when welcoming a new child (12 weeks for maternity, 4 weeks for parental/adoption leave)
- Extended health/dental/vision coverage
- Life insurance
- Disability insurance
- Retirement plan for regular full-time employees
- Eligibility for bonus and other incentive programs (for certain roles) About the Company EA SPORTS is one of the most iconic brands in entertainment, connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games. As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

📌 Machine Learning Engineer - EA SPORTS FC (Vancouver)
🏢 Global Sports Jobs
📍 Vancouver