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Overview

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.

The Artificial Intelligence Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, Internet of Things (IoT) devices and internet browsers. We collaborate with our hardware teams and partners, both internal and external, and operate at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a team of highly capable and motivated people that pride themselves on a collaborative and inclusive culture.

We own inference performance of OpenAI and other state of the art Large Language Models (LLMs) and work directly with OpenAI on the models hosted on the Azure OpenAI service serving some of the largest workloads on the planet with trillions of inferences per day in major Microsoft products, including Office, Windows, Bing, Structured Query Languages (SQL) Server, and Dynamics.

As a Research Intern on the team, you will have the opportunity to work on multiple levels of the AI software stack, With emphasis on optimizations on inference serving systems. You will benchmark state-of-the-art LLM models on Graphics Processing Units (GPUs) and Microsoft hardware, debug and optimize performance, monitor key metrics, and drive the research-to-production pipeline—helping advance innovation while supporting Microsoft Azure’s capex objectives.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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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.

Additional Responsibilities

+ Develop quick prototyping of different large scale AI models.

+ Derive creative and innovative solution to current problems on optimization for inference serving systems (e.g. partition strategies, resource allocation, disaggregated inference, etc.).

+ Develop analytical, problem solving, teamwork skillset.

Qualifications

Required Qualifications

+ Currently enrolled in PhD program in Computer Science, Computer Engineering, Electrical Engineering or related STEM field.

+ At least 1 year of experience in conducting research, writing peer-reviewed publications and software development.

+ At least 1 years of experience with software project involving python and/or C/C++.

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

+ Knowledge in AI inference serving systems.

+ Knowledge in optimizations and parallelism in AI inference systems.

+ Knowledge in systems and parallel programming.

+ Ability to handle complex problems related to software development.

+ Able to collaborate effectively with your mentor and others in the group.

The base pay range for this internship is USD $6,710 - $13,270 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 $8,760 - $14,360 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

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations 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)