Senior ML Engineer: Fraud & Security Data Pipelines

Electronic Arts (EA); Kirkland (WA); Hybrid; USD 122,000 - 159,000; Full time

Job summary

Electronic Arts is seeking a Senior Machine Learning Engineer to design, build, and operate production-grade data and ML infrastructure for fraud, anti-cheat, and account security across EA games. The role emphasizes data quality, reliability, and collaboration with data scientists.

You will join EA Player Security Data Labs as a senior individual contributor, helping shape the technical direction and standards for scalable data platforms used by game teams worldwide.

Qualifications

• Five or more years of professional experience in data engineering, ML engineering, or a closely related role with production ownership.
• Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus.
• Experience designing and operating data-intensive systems using modern programming languages, including Rust.
• Hands-on experience supporting end-to-end ML workflows, with emphasis on data preparation, feature pipelines, and model deployment infrastructure.
• Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with CI/CD systems and production deployment workflows, including GitLab.
• Experience with Terraform and Spark

Responsibilities

• 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 focus on data consistency and reliable feature computation.
• Ensure data and ML pipelines are reliable, repeatable, and cloud agnostic across environments.
• Contribute to architectural standards and engineering best practices as a senior individual contributor within EA Player Security Data Labs.

Skills

Python

SQL

Rust

Data pipelines

Cloud platforms

Docker

Kubernetes

GitLab CI/CD

Terraform

Spark

Tools

Docker

Kubernetes

GitLab

Terraform

Spark

AWS

GCP

Job description

Electronic Arts is seeking a Senior Machine Learning Engineer to design, build, and operate production-grade data and ML infrastructure for fraud, anti-cheat, and account security across EA games. The role emphasizes data quality, reliability, and collaboration with data scientists.

You will join EA Player Security Data Labs as a senior individual contributor, helping shape the technical direction and standards for scalable data platforms used by game teams worldwide.