AI Engineer Intern (Masters)

The Infrastructure and Platform Services (IPS) team at Electronic Arts serves as the backbone of the company's global ecosystem, supporting the creation of exceptional games and immersive player experiences.

As an AI Engineer Intern (Masters) on the AI Platform team, you will help create a scalable AI Platform that delivers centralized AI resources across all Electronic Arts 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.
• 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.

Qualifications:

• 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.

Benefits:

• Comprehensive benefits package, including health insurance, mental health support, retirement savings, paid time off, family leave, free games, and more.
• Flexible work arrangements, including hybrid work options.