Opportunities · Internship
Software Engineer Intern
Microsoft · Mountain View, CA, US
Role overview
About this opportunity
- Applies engineering principles to solve complex problems through sound and creative engineering.
- Works with appropriate stakeholders to determine user requirements for a feature.
- Quickly learns new engineering methods and incorporates them into work processes.
- Seeks feedback and applies internal or industry best practices to improve technical solutions.
Requirements and eligibility
- Coursework, projects, or prior experience building end-to-end applications.
- Coursework, projects, or prior experience in machine learning, artificial intelligence, or data science.
Dates for this one
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Posted
Sep 23, 2026
Applications close
Mar 22, 2027
180 days left
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Read the full listing context
Applies engineering principles to solve complex problems through sound and creative engineering. Works with appropriate stakeholders to determine user requirements for a feature.
Quickly learns new engineering methods 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.
Currently pursuing Bachelor's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship,OR currently pursuing Master's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship.
1+ year(s) of programming experience. 6+ months of experience in delivering projects in teams. 1+ year(s) of experience in developing and applying data structures and algorithms.
Coursework, projects, or prior experience building end-to-end applications. Experience with TypeScript or JavaScript and modern web frameworks such as React or Angular.
Experience building backend services using C#, Java, Node.js, Python, or similar technologies. Familiarity with REST APIs, testing frameworks, accessibility principles, and modern software engineering practices.
Coursework, projects, or prior experience in machine learning, artificial intelligence, or data science. Experience programming in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar technologies.
Understanding of machine learning concepts, model evaluation, retrieval systems, large language models, or prompt engineering.
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