AI Engineer Intern

Electronic Arts (EA) creates next-level entertainment experiences and is seeking high performing students for their internship program. As an AI Engineer Intern, you will develop key AI infrastructure components and establish scalable cloud-based platforms to support machine learning operations across EA's franchises.

Responsibilities

• Develop key AI infrastructure components to support end-to-end machine learning lifecycle operations
• Establish scalable, secure, and reliable cloud-based platforms for large-scale data analysis, model development, validation, and deployment in real-time applications
• Design and implement efficient, automated customer-facing processes and workflows that leverage AI platform technologies
• Work with producers, data scientists, ML engineers, and game developers to seamlessly integrate machine learning solutions into live services, ensuring effective model deployment and performance in production environments
• Design and implement cloud solutions using AWS, GCP, or Azure to support scalable machine learning workloads with high availability
• Manage and operate commercial tools and platforms such as Databricks, AWS and GCP
• Optimize the platform and deployed models for performance, security, scalability, and cost efficiency in real-time, live environments

Skills

• Currently enrolled in a Master's degree in Computer Science, Electrical Engineering or related fields focusing on AI/ML systems or platform development
• Proficiency in Deep Learning frameworks like PyTorch
• Proficiency in Python programming
• Experience in CI/CD, containerization and orchestration tools such as Docker and Kubernetes
• Experience designing and building scalable cloud-based solutions for machine learning lifecycle
• Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure
• Experience deploying and managing machine learning models in production for real-time applications
• Experience with one or more data lakehouse solutions, like Snowflake, Trino, Redshift, or Spark
• Experience with Gen AI technologies like diffusion models and LLM
• You must be available for a full-time paid internship in the summer of 2026
• At this time, we are considering Masters students who will be enrolled in an accredited degree program in the summer of 2026, slated to graduate no earlier than December 2026
• Applicants must be legally authorized to work in Canada on a full-time basis during the 16-week internship
• Visa sponsorship is not available for this position
• Please ensure that your graduation date is visible on your resume

Benefits

• 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time)
• 16 paid company holidays per year
• Medical insurance
• 401(k)

Company Overview