Hybrid ML Engineer – Fraud & Anti-Cheat Infra

Electronic Arts (EA)

Vancouver

Hybrid

CAD 114,000 - 156,000

Full time

14 days+

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Benefits offered by this job

Paid time off
Health/dental/vision coverage
Retirement plan
Parental leave

Job summary

Electronic Arts in Vancouver is hiring a Senior Machine Learning Engineer to build and operate production-grade data and ML infrastructure for fraud, anti-cheat, and account security. You will own end-to-end data pipelines and partner with data scientists to productionize models.

Hybrid work model with in-office collaboration, supporting data platforms across EA Player Security Data Labs and global security initiatives. Expect senior technical ownership and influence over core data capabilities.

Qualifications

  • Five or more years delivering production data or ML infra.
  • Strong Python and SQL skills with large-scale pipelines.
  • Experience in cloud environments and modern data stacks.
  • Hands-on ML workflows, feature pipelines, and deployment infra.
  • Experience with AWS or GCP and container orchestration.

Responsibilities

  • Design, build, and maintain scalable data pipelines for ML workflows.
  • Own production data and ML infrastructure including training and inference.
  • Collaborate with data scientists to productionize models with quality controls.
  • Ensure data pipelines are reliable, observable, and cloud-agnostic.
  • Contribute to platform standards and engineering best practices.

Skills

Python
SQL
Data pipelines
Rust
Cloud data processing
Machine learning workflows
Docker
Kubernetes
GitLab
Terraform
Spark

Tools

Docker
Kubernetes
GitLab
Terraform
Spark

Job description

Electronic Arts in Vancouver is hiring a Senior Machine Learning Engineer to build and operate production-grade data and ML infrastructure for fraud, anti-cheat, and account security. You will own end-to-end data pipelines and partner with data scientists to productionize models.

Hybrid work model with in-office collaboration, supporting data platforms across EA Player Security Data Labs and global security initiatives. Expect senior technical ownership and influence over core data capabilities.

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