Edge ML Engineer for Immersive Games & LLMs

Electronic Arts; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health/dental/vision coverage

Retirement plan

Paid time off

Job summary

Electronic Arts is seeking a full-stack Machine Learning Engineer for EA SPORTS, focused on operationalizing and scaling ML pipelines to power personalized in-game experiences. The role spans edge deployment on consoles and PC, LLM optimization for content, and cross-team collaboration across Vancouver studios.

The position requires expertise in Python and C++/Java, plus hands-on work with Databricks, Trino, and Apache Airflow, aligned with production-grade systems. Hybrid work model in Canada.

Qualifications

• BS in Computer Science, Mathematics, or related field, or equivalent experience.
• LLM deployment, fine-tuning, and retrieval-augmented generation experience.
• Proficiency in Python and C++ or Java.
• Experience with Databricks, Trino, and Apache Airflow for production data/workflows.
• Track record of building and maintaining ML applications in productized software.
• Experience deploying models on edge devices across ML lifecycle.

Responsibilities

• Deploy and maintain end-to-end ML pipelines for robust data delivery and model performance.
• Deploy ML models on gaming consoles and PC with platform optimizations.
• Execute LLM deployment and optimization for in-game content.
• Collaborate with game teams to ship high-impact features.
• Promote ML best practices through demonstrations and talks.
• Stay updated on ML advancements and prototype new opportunities within EA FC franchise.

Skills

LLM deployment experience

Edge deployment

Education

Bachelor's degree in CS/Math or related

Tools

Python

C++

Java

Databricks

Trino

Apache Airflow

Job description

Electronic Arts is seeking a full-stack Machine Learning Engineer for EA SPORTS, focused on operationalizing and scaling ML pipelines to power personalized in-game experiences. The role spans edge deployment on consoles and PC, LLM optimization for content, and cross-team collaboration across Vancouver studios.

The position requires expertise in Python and C++/Java, plus hands-on work with Databricks, Trino, and Apache Airflow, aligned with production-grade systems. Hybrid work model in Canada.