
Empowering every person and organization on the planet to achieve more.
Principal Applied Scientist- M365 Copilot
Overview:
The M365 Copilot team is building the next generation of intelligent assistant systems to empower enterprise users with advanced productivity capabilities. We are hiring Principal Applied Scientist to build the core foundation for M365 Copilot — designed to be fast, agile, secure, high‑quality, cost‑efficient, and scalable.
This role will directly contribute to the core capabilities of Copilot and impact how millions of users interact with their enterprise data:
- You will work on real agent systems at massive scale, not demos or isolated research
- You will shape how agents reason, remember, ground, and collaborate in production
- You will have end‑to‑end ownership and visible impact on enterprise-grade AI products
Responsibilities- Deliver cutting‑edge agent capabilities
Design, prototype, and ship advanced techniques to agentic AI systems, including planning/reasoning, agent memory, skills creator & discovery, and LLM/SLM post-training. Own solutions end‑to‑end, from scientific design to production impact.
- Drive research‑to‑production impact
Identify high‑leverage scientific problems and translate state‑of‑the‑art research into scalable, reliable, and measurable product improvements, partnering closely with engineering and product teams.
- Own scientific quality and evaluation
Define quality bars and evaluation strategies for agent behavior, reasoning, grounding, and safety; diagnose failure modes and drive systematic, data‑driven improvements.
- Provide technical leadership and mentorship
Act as a technical leader for applied science work, mentor other scientists, influence system design, and raise the bar for scientific rigor and execution quality.
- 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.
- Strong algorithmic and modeling skills, with solid problem-solving capabilities.
- Academic background in RL, agent, or search systems is preferred.
- Demonstrated expertise on multi-turn agent orchestration, memory/context management, long‑horizon tasks, LLM pre-training and post-training is a strong plus.
- Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments..
#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について

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
従業員数
Redmond
本社所在地
$3000B
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
4.3
キャリア
3.8
経営陣
4.0
82%
知人への推奨率
良い点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
改善点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
給与レンジ
5,620件のデータ
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1件のレポート
$234,166
年収総額
基本給
$180,128
ストック
-
ボーナス
-
$234,166
$234,166
面接レビュー
レビュー1件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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