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Overview:
Job Title: Principal Applied Science Manager
Visit us at https://aka.ms/STCI
- Are you excited about working on webservices service traffic at web scale across ~100 languages and ~200 regions?
- Are you interested in researching and shipping on the state-of-the-art DL based NLP models?
- Are you passionate about tackling this fundamental problem at web scale which impacts millions of users?
If you answered yes to any of these questions, then Microsoft Bing’s RAI Defensives team could be right fit for you. The team is focused on keeping Bing safe for our customers by detecting queries and content that require due diligence for the best user experience. All this using the state-of-the-art deep learnt models. We are looking for a talented, energetic, creative, and passionate software engineer/applied sciences manager with experience in building/shipping high-quality software solution for cutting edge web scale problems.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
- Responsibilities- The Principal Applied Science Manager role involves building and managing a team of high-caliber software engineers and applied researchers.
- The manager will ensure product and development excellence, career development of the team and establishing a strong culture of trust, collaboration & inclusion.
- Additionally, this role will require to work closely with various organizations in Microsoft AI, including Copilot and Edge. A suitable candidate is expected to have experience of delivering reliable & scalable distributed services with a good understanding of data science fundamentals.
Qualifications:
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research).
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
- OR equivalent experience.
- 1+ year(s) of people management experience.
- 6+ years of software engineering or applied researcher experience or equivalent.
- 5+ years of experience leading high performing teams.
- 5+ years of technical leadership experience, planning, designing, implementing, and delivering large projects spanning multiple engineers as the primary owner or equivalent.
- A demonstrated track record of excellent communication and collaboration skills.
- Experience developing, debugging, and maintaining code.
- Experience leading a team to train, build and infer large scale DL models.
- Demonstrated organizational, problem solving and prioritization skills.
Preferred Qualifications:
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research).OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).
- OR equivalent experience.
- 5+ years of people management experience.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
#MicrosoftAI
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
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
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