Machine Learning Engineer - EA Sports FC

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

Role ID

215640

Worker Type

Regular Employee

Studio/Department

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC, NHL® hockey, NBA LIVE basketball, and EA SPORTS UFC.

At the heart of EA SPORTS is the FC franchise. EA SPORTS FC is the world's #1 best-selling video game with over 200M engaged players across multiple platforms, including console, PC, and mobile. Innovation, passion, and teamwork are at the heart of everything we do. With studios in Vancouver, Bucharest, and Cologne, we’re looking for the brightest talent, so we can continue to create experiences that connect with millions of hearts and minds the world over.

Reporting to the Senior Data Science Manager, we are 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. The ideal candidate thrives in a dynamic environment, balancing applied technical execution with cross-team collaboration. You will be responsible for implementing resilient data architectures, maintaining scalable infrastructure, and collaborating with stakeholders to translate requirements into high-performance, production-ready systems.

Your Responsibilities:

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

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

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

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

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

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

Your Qualifications:

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

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

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

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

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

Full‑stack Versatility - Maintain experience deploying models on edge devices across the entire Machine Learning lifecycle.

Pay Transparency - North America COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top‑up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full‑time employees. Certain roles may also be eligible for bonus and equity.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well‑being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.