Description
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.
We are EA
Electronic Arts is more than you've ever realized. We're more than a company, or a headline, or even a clever catchphrase – we're a vibrant community of artists, storytellers, technologists, and innovators working toward a shared vision: to inspire and unite through play.
This is an especially great time for the video game industry, as we're currently going through an exciting digital transformation. The global gaming audience has also never been bigger, with industry revenue projected to reach $295.6 billion by 2026.
The Opportunity Ahead
The EA Digital Platform (EADP) organization drives critical technology innovation and platform capabilities that power a wide range of EA's games, services, and player experiences globally. As part of this team, interns will contribute to next-generation AI and cloud-native solutions that help scale platform infrastructure, improve developer productivity, and enhance player engagement.
Responsibilities:
- Assist in building and integrating AI-powered tools and automation solutions to improve engineering efficiency and developer productivity.
- Contribute to the development of scalable AI/ML and Generative AI applications, including workflows involving LLMs, RAG pipelines, and intelligent agents.
- Support the design, testing, and optimization of backend services, APIs, and cloud-native applications.
- Analyze application logs, test results, and system metrics to identify issues and improve overall platform performance.
- Collaborate with cross-functional engineering teams to troubleshoot technical problems and support feature development.
- Work on automation, monitoring, and operational tasks related to AI Platform products & services, cloud infrastructure, and deployment pipelines.
- Document findings, communicate progress updates, and present technical learnings to mentors and team members.
- Follow engineering best practices, security standards, and organizational compliance guidelines.
- Demonstrate curiosity, ownership, adaptability, and a willingness to learn emerging AI and cloud technologies in a fast-paced environment.
Qualifications:
- Recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Basic programming knowledge in Python, SQL, or Java, with an interest in AI/ML application development.
- Familiarity with Machine Learning, Deep Learning, or Generative AI concepts is preferred.
- Exposure to technologies such as LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Vector Databases, or MLOps is a plus.
- Basic understanding of cloud platforms (GCP, Azure, or AWS. Docker, and Kubernetes is an added advantage.
- Interest in building scalable AI platforms, intelligent applications, and data-driven solutions.
- Understanding of APIs, backend services, and distributed systems fundamentals is beneficial.
- Strong analytical and problem-solving skills with eagerness to learn emerging AI technologies.
- Ability to work collaboratively in a fast-paced engineering environment.
- Good communication and presentation skills with a proactive and innovative mindset.
About Electronic Arts
We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.