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 supports a balanced life with a comprehensive benefits program that emphasizes physical, emotional, financial, and professional well-being, as well as community involvement. Our packages are customized to meet regional needs and may include medical insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.
