Research Scientist Intern - Realtime LLMs for Games

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.

Electronic Arts is looking for high performing students to join our world-class internship experience. Summer 2026 will be better than ever as we bring all interns together on-site for orientation week and prep students for the future ways of work by offering remote and hybrid opportunities depending on your location. For more information about our Emerging Talent Program, visit https://www.ea.com/careers/interns-and-university-graduates

We are seeking an enthusiastic and motivated AI Software Engineering Intern to join our team. This role is ideal for individuals passionate about Artificial Intelligence and Machine Learning, with strong Python programming skills and a foundational understanding of:

• Large Language Models (LLMs)
• React (for modern UI development)
• Retrieval-Augmented Generation (RAG) techniques
• Database systems (SQL/NoSQL) for efficient data storage and retrieval
• Graph Databases (e.g., Neo4j, TigerGraph) for knowledge representation and relationship-driven queries
• Model training techniques (fine-tuning, transfer learning, evaluation, optimization)

As an intern, you will have the opportunity to contribute to innovative projects, leveraging cutting-edge AI/ML technologies to solve complex challenges and enhance player experiences. You’ll gain hands-on experience, collaborate with cross-functional teams, and explore real-world applications of AI in gaming and interactive systems.

Key Responsibilities:

• Collaborate with senior engineers to design, develop, and deploy AI models, with a focus on Large Language Models (LLMs).
• Build user interfaces for AI applications using React and Streamlit, ensuring accessibility and usability.
• Implement and refine RAG (Retrieval-Augmented Generation) techniques to improve the performance, accuracy, and relevance of AI-driven solutions.
• Work with databases and graph databases to manage structured/unstructured data and power knowledge-driven applications.
• Participate in data processing, model training, and evaluation, applying best practices in fine-tuning, optimization, and validation.
• Contribute to code quality, testing, and documentation, helping maintain reliable and scalable AI/ML systems.
• Stay up to date with industry trends and emerging technologies in AI.

Requirements

• Experience in AI/ML development.
• Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Basic understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Familiarity with Streamlit or React for building front-end interfaces.
• Strong problem-solving skills and the ability to learn new technologies quickly.
• Excellent communication and collaboration skills.

Nice-to-Have

• Experience with REST APIs, cloud platforms, or containerization (Docker, Kubernetes).
• Familiarity with Git and version control practices.

You must be available for a full-time paid internship in the summer of 2026.

At this time, we are considering Undergrad 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 the US on a full-time basis during the 8 month internship. Visa sponsorship is not available for this position.