AI Software Engineering Intern
Job details
- Employment
- Internship
- Level
- Internship
- Experience
- 1+ year
- Education
- Bachelor's degree
- Posted
- Oct 10, 2026
- Last confirmed open
- Oct 10, 2026
About this role
Public source summary from intern-list.com / Jobright.
Microsoft is a technology company offering university internships on real-world projects across global teams. The AI Software Engineering Intern will work on AI and machine learning projects, applying engineering principles and responsible AI practices to design, develop, test, and improve innovative software solutions.
Responsibilities
Applies engineering principles and AI techniques to solve complex problems through sound and creative engineering Works with appropriate stakeholders to determine user requirements for a feature Understands and applies Microsoft’s responsible AI practices to ensure the systems you work on meet our commitments to our customers Quickly learns new engineering methods, emerging AI and machine learning techniques and incorporates them into work processes Seeks feedback and applies internal or industry best practices to improve technical solutions Demonstrates skill in time management and completing software projects in a cooperative team environment Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
Qualifications: Enrolled in a full time bachelor's or master's program in Computer Science, Engineering, or related field during the academic term immediately before the internship Must have at least 1 semester/term remaining following the completion of the internship One year of programming experience in an object-oriented language Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms and AI/machine learning concepts Experience with AI/ML projects, such as developing machine learning models, working with large datasets, or implementing AI solutions in real-world applications Familiarity with AI frameworks and libraries like TensorFlow, PyTorch, or scikit-learn Experience in using AI tools to generate projects, such as GitHub Copilot, Claude code, Microsoft Roo Code or similar, with an understanding of their strengths and limitations