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채용Microsoft

Research Intern - Systems For Efficient AI

Microsoft

Research Intern - Systems For Efficient AI

Microsoft

United States, Washington, Redmond

·

On-site

·

Internship

·

5mo ago

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.

AI workloads are growing at an unprecedented pace, and inference has become one of the most critical challenges in modern computing. Large-scale models demand massive compute resources, and the diversity of hardware across cloud and edge adds complexity. Achieving low latency and high throughput while controlling cost requires rethinking the entire inference stack—from algorithms to infrastructure.  Within our Systems Innovation research group, we pursue a full stack approach towards AI inference. We closely collaborate with multiple research teams and product groups across the globe. Some of the research problems we are currently working on are related to request scheduling/batching mechanisms, KV caching optimizations, LLM inference optimizations, and GPU fleet orchestration.     We are looking for Research Interns to help advance the state of the art of systems for efficient AI. The ideal candidate will have background in systems for AI, including end-to-end AI inference pipelines, request scheduling and batching mechanisms, performance optimizations for AI inference, and KV caching mechanisms.

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.

Qualifications:

Required QualificationsAccepted or currently enrolled in a PhD program in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field.   Other RequirementsResearch 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 QualificationsExperience with LLM architectures, systems for LLM inference, and/or AI hardware. Experience with GPUs and understanding of CUDA/ROCm frameworks.  Experience with computer systems and/or networks. Experience in conducting research and writing peer-reviewed publications. Proficient written and verbal communication skills.   Be able to work in a cross-functional and multi-disciplinary setting across research and product.  Proficient software development skills, preferably in C++ and Python.  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.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Microsoft 소개

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

직원 수

Redmond

본사 위치

$3000B

기업 가치

리뷰

3.8

5개 리뷰

워라밸

4.1

보상

4.3

문화

3.4

커리어

3.2

경영진

3.0

65%

친구에게 추천

장점

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

단점

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

연봉 정보

5,620개 데이터

Senior/L5

Senior/L5 · Account Management

5개 리포트

$209,483

총 연봉

기본급

$181,941

주식

-

보너스

-

$194,895

$209,483

면접 경험

1개 면접

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit