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Microsoft Software Engineer AI/ML Intern Opportunities University Students Redmond 
United States, Washington 
309740910

17.09.2024

As a Software Engineering Intern on AI and/or ML projects, you will work with teammates to solve problems and build innovative software solutions. You will apply your passion for customers and product quality as youtechnical guidance to Technical Program Managers and Product Managers. You will learn and adopt relevantnew technologies, tools, methods, and processes to

and achieve your goals. This is your chance to bring your solutions and ideas to life while working on

Required Qualifications

  • Currently pursuing Bachelor’s or Master’s degree.
  • Must have at least 1 semester/term remaining following the completion of the internship.
  • One year of programming experience in an object-oriented language.

Preferred Qualifications

  • Ability todemonstratean understanding of computer science fundamentals, including data structures and algorithms.
  • Demonstrated interest in AI and/or ML technologies.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 30, 2024.

Responsibilities
  • Applies engineering principles 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 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.