Software Engineer Intern

Public source summary from intern-list.com / Jobright.

Electronic Arts creates next-level entertainment experiences and is seeking a technically curious Software Engineer Intern for its Enterprise Engineering Team. The intern will apply artificial intelligence and automation to improve data engineering workflows, develop AI-powered tools and scripts, research enterprise AI frameworks, and collaborate with data and engineering teams on analytics, pipelines, and systems.

Responsibilities

Use AI tools (OpenAI, Anthropic, Gemini, Hugging Face) to develop AI workflows, integrations, and data efficiencies Develop AI solutions or scripts that boost productivity in software development, data management, or analytics Analyze data and engineering workflows to identify optimization opportunities using LLMs,GenAI, or ML tools/models Research new AI frameworks and tools for enterprise or team use.

Create clear documentation of experiments, results, and implementation steps to help scale AI adoption internally Work with engineers and team to measure gains and drive impact Collaborate with data and engineering teams on real-world projects involving engineering efficiencies analytics, data pipelines, and systems

Qualifications: Pursuing a Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field Programming skills in Python (experience with libraries like PyTorch, TensorFlow, or LangChain) Familiarity with MCP, LLM, and cloud platforms You must be available for a full-time paid internship in the summer of 2027 At this time, we are considering Undergrad students who will be enrolled in an accredited degree program in the summer of 2027, slated to graduate no earlier than December 2027 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 Experience building AI Agents Coursework or projects involving machine learning, AI, or LLM Understanding of software engineering workflows and how AI can enhance them Experience with data, such as working with large datasets, data processing pipelines, or analytics tools

Benefits: Hybrid work model Healthcare coverage may be included, tailored to local needs Mental well-being support may be included, tailored to local needs Retirement savings may be included, tailored to local needs Paid time off may be included, tailored to local needs Family leaves may be included, tailored to local needs Complimentary games may be included, tailored to local needs Opportunities for growth Learning and experimenting are supported