Machine Learning Engineer III

Central Technology is the force multiplier, accelerating creative opportunity and progress at EA.

We’re a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment.

Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

EA Security protects our players, employees, products, and platforms.

We set security standards, support game and enterprise teams, assess risk across partners and systems, and ensure compliance with global requirements.

Our work strengthens system integrity, supports fair play, and enables teams to build and operate securely at scale.

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs.

You will follow a hybrid work model with a mix of remote work and in-office collaboration.

This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

-Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.

-Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.

-Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.

-Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic across environments.

-Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.