Electronic Arts

The Lifecycle Management (LCM) AI Solutions team at EA delivers Machine Learning Solutions at scale. We empower our studio partners with scalable data and ML systems that bring insights directly to their fingertips.

As a Machine Learning Engineer, you will build global-scale production systems. You will create advanced analytics data products and autonomous platforms that improve decision-making and significantly impact layer engagement.

You will report to the Technical Director of AI/ML. 

Responsibilities:

• You will optimize and scale ML systems for production, focusing on vectorDB integration and semantic search approaches.

• You will develop testing and validation processes to ensure model accuracy and reliability, including load and latency assessments.

• You will collaborate with our platform and MLOps team to enhance model pipeline efficiency.

• You will lead discussions with stakeholders and our internal partners for designing and implementing ML models.

• You will work with MLE and MLOps TDs in adopting new technologies and platforms for improved deployment and scalability.

• You will translate product requirements into technical specifications in collaboration with product management.

• You will report on project progress and product updates to senior management.

Qualifications:

• 4+ years of industry experience

• Knowledge of Machine Learning, MLOps, and model production, including vectorDB and search methodologies.

• Experience designing, maintaining, and scaling ML systems.

• Familiarity with platforms like AWS and GCP, as well as CI/CD practices.

This is a hybrid remote/in-office role.