Microsoft Software Engineer Applied AI/ML Intern Opportunities 

Taiwan, Taoyuan City 

597986496

Required 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.

Other Requirements:

• Ability to submit an official or unofficial academic transcript as part of the evaluation process, if selected for interviews.

Preferred Qualifications:

• 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.

The base pay range for this internship is USD $5610.00 - $11010.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7270.00 - $12030.00 per month.

• 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.