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Software Engineering Intern - Artificial Intelligence - Machine Learning

Electronic Arts

Salary not specified
Sep 25, 2025
Austin, TX, USA
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Electronic Arts is looking to solve complex challenges and enhance player experiences by leveraging cutting-edge AI/ML technologies, specifically focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.

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

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.

Other

  • Must be available for a full-time paid internship in the summer of 2026.
  • 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 12-week internship.
  • Visa sponsorship is not available for this position.
  • Strong problem-solving skills and the ability to learn new technologies quickly.
  • Excellent communication and collaboration skills.