Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

　　As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

　　Responsibilities

　　Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. As a Research Intern for this position, you will:

　　Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them.

　　Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure.

　　Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects.

　　Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.

　　Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.

　　Qualifications

　　Required Qualifications

　　Currently enrolled in abachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field.Other Requirements

　　Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

　　In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

　　Preferred Qualifications

　　Proficient analytical and problem-solving skills and communication skills, both written and verbal.

　　Ability to work independently and collaboratively in a dynamic research environment.

　　AI-driven System Design

　　Proficient in machine learning concepts and models.

　　Research on how to use ML method to validate and verify the quality of the paragraph of text.

　　Hands-on experience with machine learning frameworks such as PyTorch and programming skills on C/C++ or Python.

　　Passionate about solving real-world large-scale infrastructure problems with AI Models. Experience with AI infrastructure or LLM would be a plus.

　　AI-driven Database Design

　　Proficient understanding of machine learning or database concepts.

　　Research expertise with database, data processing, data storage, vector indexing, and AI modeling is a plus.

　　AI Modeling

　　Proficient understanding of machine learning concepts.

　　Research expertise with AI modeling is a plus.

　　Deep Knowledge of AI model design, architecture, and application.

　　Applied Sciences IC2 - The base pay range for this internship is USD $5,090 - $10,120 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 $6,690 - $11,030 per month.

　　Applied Sciences IC3 - The base pay range for this internship is USD $6,290 - $12,170 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 $8,060 - $13,240 per month.

　　Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

　　Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .