채용

Member of Technical Staff, Applied Scientist - Windows Copilot
United States, Washington, Redmond
·
On-site
·
Full-time
·
2mo ago
보상
$119,800 - $234,700
필수 스킬
Machine Learning
Data Pipeline Development
Model Training
Data Analysis
Deep Learning
Overview
The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack—from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows.
We’re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it’s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all.
We are hiring an Applied Scientist to lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities.
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.
MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
- Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
- Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
- Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
- Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
- Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
- Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
- Embody our Culture and Values.
Qualifications Required Qualifications
- Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience.
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.
-
Proven track record of deploying machine learning models in large-scale production environments.
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9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
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Proven track record of deploying machine learning models in large-scale production environments.
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4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.
총 조회수
3
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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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
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
Culture Fit
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