Machine Learning Engineer

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

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.

With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and end-to-end pipelines that power personalized, in-game experiences. As a key member of our multidisciplinary team, you will act as the bridge between technical engineering and strategic business objectives, ensuring robust software integration for our machine learning initiatives. The ideal candidate thrives in a dynamic environment, balancing applied technical execution with cross-team collaboration. You will be responsible for implementing resilient data architectures, maintaining scalable infrastructure, and collaborating with stakeholders to translate requirements into high-performance, production-ready systems.

Your Responsibilities:

• Pipeline Management - Deploy and maintain end-to-end Machine Learning pipelines to ensure robust data delivery and optimal model performance.

• Edge Deployment - Deploy Machine Learning models directly on target devices like gaming consoles and PC, optimized for specific platform constraints.

• LLM Optimization - Execute Large Language Model deployment and optimization for generative content and immersive in-game systems.

• Cross-functional Collaboration - Share technical knowledge by engaging with game teams to develop and ship high-impact features.

• Technical Evangelism - Promote Machine Learning best practices through presentations and interactive demonstrations to elevate the team's craft.

• Innovation Research - Stay abreast of latest ML advancements and prototype new application opportunities within the FC franchise.

Your Qualifications:

• Academic Foundation - Possess a BS in Computer Science, Mathematics, or a related field, or equivalent professional engineering experience.

• LLM Expertise - Demonstrate experience with Large Language Model deployment, fine-tuning, and retrieval-augmented generation techniques.

• Programming Proficiency - Exhibit strong computer programming fundamentals with proficiency in Python and C++ or Java.

• Workflow Tooling - Apply hands-on experience with Databricks, Trino, and Apache Airflow to manage production data and model workflows.

• Production Record - Provide a proven record of building, deploying, and maintaining Machine Learning applications within productized software.

• Full-stack Versatility - Maintain experience deploying models on edge devices across the entire Machine Learning lifecycle.

Pay Transparency - North America

* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD