# 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/fi_FI/careers/JobDetail/Machine-Learning-Engineer-III/212201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_22702442-12e

## Description

Electronic Arts is seeking a Machine Learning Engineer III to join their Central Technology team, specifically within the EA Player Security Data Labs. 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 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, focusing on data consistency, quality, and reliable offline and online feature computation.

- Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud-agnostic across environments.

- Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor.

Qualifications:

- Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.

- Strong proficiency in Python and SQL, with experience building and maintaining large-scale, production-grade data pipelines. Experience with Rust is a plus.

- Experience designing and operating data-intensive systems using modern programming languages, including Rust.

- Hands-on experience supporting end-to-end machine learning workflows, with an 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.

Benefits:

- Comprehensive benefits package, including health care services, mental well-being support, retirement savings, paid time off, family leaves, free games, and more.

- Flexible work arrangements, including hybrid work model.

- Opportunities for growth and development within the company.

## Skills

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

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