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Software Engineer Intern, Applied AI/ML

Microsoft

$5,610 - $12,030
Sep 12, 2025
Mountain View, CA, US
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Microsoft is looking for Software Engineering Interns to work on Applied AI/ML projects to solve complex problems and build innovative software solutions leveraging AI technologies.

Requirements

  • 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.

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 n

Other

  • 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.
  • Ability to submit an official or unofficial academic transcript as part of the evaluation process, if selected for interviews.
  • 3 days / week in-office
  • 0-25 % Travel