채용
필수 스킬
Excel
OverviewAI has created an unprecedented opportunity to make work better for hundreds of millions of people. Microsoft’s productivity division is hiring Applied Scientists II to help ensure we maximize this amazing opportunity. Our scientists collaborate closely with people across Microsoft’s product teams and Microsoft Research to see their ideas realized in products and services like M365, M365 Copilot, Office AI, and Office Products (Excel, PowerPoint, Word, etc.). They also contribute back to the scientific community through peer-reviewed publications at top venues, scientific presentations, and beyond. We are looking for Applied Scientists II who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. Research areas of interest include but are certainly not limited to reinforcement learning, agentic systems multimodal modeling, post-training techniques and their application, human-centered artificial intelligence (AI), domain-specific large language model (LLM) applications (e.g. long-form writing assistance), personalization, computational social science, memory, agentic retrieval-augmented generation (RAG), real-time AI systems, collaborative AI, privacy-preserving AI, trustworthy AI, data-centric AI, AI flywheels, and multilingual AI. 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.
- Responsibilities- Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products.
- Shape product direction by integrating rigorous scientific methods into the product lifecycle.
- Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product.
- Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices.
- Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.
- Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.
Qualifications:
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
Preferred Qualifications:
- At least one internship or prior role at a leading technology company, or start-up, or related organizations.
- A record of publications in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, KDD, WWW, CHI, PNAS, Nature, EMNLP, CVPR, ICCV, ECCV, CoRL).
- Proven real-world impact from your research, demonstrated through shipped products, improved user experiences, or other measurable benefits for diverse stakeholders.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:-Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. 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 $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
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Microsoft 소개

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
직원 수
Redmond
본사 위치
$3000B
기업 가치
리뷰
4.4
10개 리뷰
워라밸
3.2
보상
4.1
문화
4.3
커리어
3.8
경영진
4.0
82%
친구에게 추천
장점
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
단점
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
연봉 정보
5,620개 데이터
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1개 리포트
$234,166
총 연봉
기본급
$180,128
주식
-
보너스
-
$234,166
$234,166
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
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