# 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/zh_CN/careers/JobDetail/Machine-Learning-Engineer-III/212201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_37b69303-66b

## Description

Electronic Arts creates immersive entertainment experiences that inspire players and fans worldwide.

Central Technology at EA accelerates creative opportunity and progress, transforming interactive entertainment with cutting-edge technology.

The EA Security team protects players, employees, products, and platforms by setting security standards, assessing risks, and ensuring compliance with global requirements.

As a Machine Learning Engineer III, you will report to the Senior Manager, EA Player Security Data Labs, and work in a hybrid model combining remote work and in-office collaboration.

Your primary focus will be on building and operating production-grade data and machine learning infrastructure to support data scientists and analysts in delivering 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 in 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.

- Collaborate with data scientists to productionize machine learning models, focusing on data consistency, quality, and reliable 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. Rust experience 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.

### Why You Will Enjoy This Role

- Work on data and machine learning systems that protect millions of players from fraud and cheating.

- Operate as a senior individual contributor with strong technical ownership and autonomy.

- Design and build core data infrastructure that powers machine learning across EA Player Security.

### Benefits

Electronic Arts offers comprehensive benefits packages tailored to meet local needs, including medical insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.

## Skills

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

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