# Machine Learning Engineer III

**Company**: Electronic Arts
**Location**: Kirkland
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $118,700 - $154,100 USD
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/en_US/careers/JobDetail/Machine-Learning-Engineer-III/212201?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8d338220-834

## Description

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

## What you'll do

-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, with a strong focus on data consistency, data 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 within EA Player Security Data Labs.

## What you need

- 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 demonstrated experience building and maintaining large-scale, production-grade data pipelines.

- 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.

## Skills

### Required
- data engineering
- machine learning engineering
- Python
- SQL
- Rust
- data preparation
- feature pipelines
- model deployment infrastructure
- cloud environments
- containerization
- orchestration
- CI/CD systems

### Nice to have
- data science
- data analysis
- fraud detection
- anti-cheat
- account security

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