Machine Learning Engineer III

Electronic Arts is seeking a Machine Learning Engineer III to join the EA Player Security Data Labs team. The successful candidate will work on building and operating production-grade data and machine learning infrastructure to support fraud detection, anti-cheat, and account security solutions across EA games.

Responsibilities:

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for machine learning workflows.
• Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing.
• Partner with data scientists to productionize machine learning models, focusing on data consistency and quality.
• Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic.
• Contribute to architectural standards, platform design decisions, and engineering best practices.

Qualifications:

• Five or more years of professional experience in data engineering or machine learning engineering.
• Strong proficiency in Python and SQL, with experience building large-scale data pipelines.
• Experience with modern programming languages, including Rust.
• Hands-on experience with end-to-end machine learning workflows and data preparation.
• Experience working in cloud environments such as AWS or GCP.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.

Benefits:

• Competitive salary
• Comprehensive benefits package, including health insurance, mental health support, retirement savings, paid time off, and family leave
• Opportunities for growth and professional development
• Flexible work arrangements, including hybrid and remote work options