Machine Learning Engineer III

Role overview

Responsibilities

• Design and maintain scalable ingestion, transformation, and feature pipelines for machine learning workflows.
• Own production data and machine learning infrastructure, including processing, training, and inference pipelines.
• Partner with data scientists to productionize models with reliable data and feature computation.
• Ensure pipelines are reliable, repeatable, observable, and cloud agnostic.
• Contribute to architecture standards, platform decisions, and engineering best practices.

Qualifications

• At least 5 years of professional experience in data engineering, machine learning engineering, or a related production-ownership role.
• Strong Python and SQL proficiency and experience with large-scale production data pipelines.
• Experience with data-intensive systems and modern programming languages, including Rust.
• Experience supporting end-to-end machine learning workflows and model deployment infrastructure.
• Experience with AWS or GCP, Docker, Kubernetes, CI/CD, GitLab, Terraform, and Spark.

Role highlights

• Work on systems that protect millions of players from fraud and cheating.
• Operate as a senior individual contributor with technical ownership and autonomy.
• Design core data infrastructure powering machine learning across EA Player Security.

Pay transparency

• EA provides location-based compensation ranges and determines pay using education, qualifications, certifications, experience, skills, geography, and business needs.
• The listed British Columbia range is CAD 114,300 to CAD 156,200.

About Electronic Arts