Senior ML Data Infra Engineer – Fraud & Security (Hybrid)

Electronic Arts (EA); Redwood City (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

PTO 3 weeks + 80 hours sick time

16 paid holidays per year

Baby bonding leave (10 weeks)

Health insurance, dental, vision

401(k) retirement plan

Job summary

Electronic Arts seeks a Senior Machine Learning Engineer for the Central Technology division. You will design and operate data and ML infrastructure enabling fraud detection, anti-cheat, and account security solutions across EA games.

You will report to the Senior Manager, EA Player Security Data Labs and work in a hybrid model with remote and in-office collaboration to power secure, scalable data systems.

Qualifications

• 5+ years in data/ML engineering with production ownership.
• Proficient in Python and SQL; Rust experience is a plus.
• Experience designing data-intensive systems and production ML workflows.
• Cloud experience (AWS/GCP) with large-scale data processing.
• Experience with Docker & Kubernetes and CI/CD (GitLab).
• Terraform and Spark experience.

Responsibilities

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for ML workflows (fraud/anti-cheat).
• Own and operate production data and ML infra, including batch and near-real-time processing, feature gen, training, and inference pipelines.
• Collaborate with data scientists to productionize models with data quality and reliable features.
• Ensure pipelines are reliable, observable, and cloud-agnostic across environments.
• Contribute to architectural standards and best practices as a senior IC within EA Player Security Data Labs.

Skills

Python

SQL

Rust

Cloud: AWS/GCP

Data pipelines

Machine learning workflows

Tools

Docker

Kubernetes

GitLab

Terraform

Spark

Job description

Electronic Arts seeks a Senior Machine Learning Engineer for the Central Technology division. You will design and operate data and ML infrastructure enabling fraud detection, anti-cheat, and account security solutions across EA games.

You will report to the Senior Manager, EA Player Security Data Labs and work in a hybrid model with remote and in-office collaboration to power secure, scalable data systems.