# Machine Learning Engineer - EA SPORTS™ FC

**Company**: Electronic Arts
**Location**: Vancouver, British Columbia
**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/pl_PL/careers/JobDetail/Machine-Learning-Engineer-FC/215640?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7c52e870-439

## Description

Electronic Arts is seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and end-to-end pipelines that power personalized, in-game experiences.

As a key member of our multidisciplinary team, you will act as the bridge between technical engineering and strategic business objectives, ensuring robust software integration for our machine learning initiatives.

Responsibilities:

- Deploy and maintain end-to-end Machine Learning pipelines to ensure robust data delivery and optimal model performance.

- Deploy Machine Learning models directly on target devices like gaming consoles and PC, optimized for specific platform constraints.

- Execute Large Language Model deployment and optimization for generative content and immersive in-game systems.

- Share technical knowledge by engaging with game teams to develop and ship high-impact features.

- Promote Machine Learning best practices through presentations and interactive demonstrations to elevate the team's craft.

- Stay abreast of latest ML advancements and prototype new application opportunities within the FC franchise.

Qualifications:

- Possess a BS in Computer Science, Mathematics, or a related field, or equivalent professional engineering experience.

- Demonstrate experience with Large Language Model deployment, fine-tuning, and retrieval-augmented generation techniques.

- Exhibit strong computer programming fundamentals with proficiency in Python and C++ or Java.

- Apply hands-on experience with Databricks, Trino, and Apache Airflow to manage production data and model workflows.

- Provide a proven record of building, deploying, and maintaining Machine Learning applications within productized software.

- Maintain experience deploying models on edge devices across the entire Machine Learning lifecycle.

Benefits: Electronic Arts applies a comprehensive approach to our benefits programs, focusing on physical, emotional, financial, professional, and social well-being to support a sustainable lifestyle.

## Skills

### Required
- Python
- C++
- Java
- Databricks
- Trino
- Apache Airflow
- Large Language Models
- Machine Learning

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/pl_PL/careers/JobDetail/Machine-Learning-Engineer-FC/215640?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)