FAQs
What is the duration of the Research Intern position at Microsoft?
The internship typically lasts for 12 weeks.
In which locations are Research Interns expected to work?
Research Interns are expected to be physically located in their manager’s Microsoft worksite location, specifically in Vancouver, Canada, or Redmond, Washington.
What fields of study are required for applying to this internship?
Applicants should be currently enrolled in a bachelor's, master's, or PhD program in Computer Science, Electrical Engineering, Machine Learning, Mathematics, or a related field.
What types of responsibilities will the Research Intern have?
The Research Intern will be involved in the design and development of AI-driven infrastructure, research and analysis of emerging AI trends, collaboration with cross-functional teams, documentation and reporting of findings, and innovation in problem-solving.
Are there any preferred qualifications for this internship?
Yes, preferred qualifications include proficient analytical and problem-solving skills, understanding of machine learning concepts, research expertise with AI modeling, and model training experience.
Is there an application requirement regarding reference letters?
Yes, candidates are required to submit a minimum of two reference letters along with their application.
What is the typical base pay range for this internship in Canada?
The typical base pay range for this role across Canada is CAD $8,500 - CAD $9,500 per month.
Does Microsoft provide equal opportunity employment?
Yes, Microsoft is an equal opportunity employer and considers all qualified applicants without regard to various protected characteristics.
What types of projects will the Research Intern contribute to?
The Research Intern will contribute to the development and implementation of AI infrastructure projects and collaborate on existing and future AI initiatives.
Are interns at Microsoft expected to work independently or collaboratively?
Interns are expected to work both independently and collaboratively in a dynamic research environment.