# Machine Learning Engineer III

**Company**: Electronic Arts
**Location**: Kirkland, Washington
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/ko_KR/careers/JobDetail/Machine-Learning-Engineer-III/212201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6b8c5956-c0d

## Description

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

## Skills

### Required
- Python
- SQL
- Rust
- AWS
- GCP
- Docker
- Kubernetes
- Terraform
- Spark

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/ko_KR/careers/JobDetail/Machine-Learning-Engineer-III/212201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)