Microsoft Graduate Internship 24

Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington. Microsoft’s best-known software products are the Windows line of operating systems, the Microsoft 365 suite of productivity applications, and the Internet Explorer and Edge web browsers.

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At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connections, executive engagement, and memorable events.

Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today!

Every year, we welcome thousands of university students from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.

Come build community, explore your passions and do your best work at Microsoft with thousands of university graduates from every corner of the world.

Recent Graduate and Internship Opportunities in 2024

Location: Up to 50% work from home

Technology Sales Specialist: Internship Opportunities – Ireland

Technology Specialist Engages with and guides customers toward technical decisions to purchase and use Microsoft technology. Leverages sales strategy to address customer digital transformation and align technology to customer business needs.

Financial Analyst: for University Students and Recent Graduates,? Canada

Qualifications

Currently pursuing or have completed a Bachelor’s Degree in Business Administration, Accounting, Finance, Economics, Data Science, or related field.

Research Sciences – Internship Opportunities – India

We are seeking candidates with research skills and technical backgrounds.

Applicants should demonstrate depth of knowledge in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence) as well as strong academia experience in data processing, experimentation, and modeling.

Bachelor’s Degree (complete or in progress) in relevant field

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