採用
必須スキル
Machine Learning
Deep Learning
NLP
Data Mining
Overview:
Are you looking to work on cutting-edge large-scale AI services that can power the next-gen AI search? Are you passionate about Deep Learning and latest AI technologies light up those scenarios?
Our team uses latest NLP deep learnt models to prepare Grounding data for AI search efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.
We are looking for a Applied Scientist II who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works.
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.
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:
We are looking for a motivated, self-driven Applied Scientist II to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLP related engineering problems.
Your responsibilities include:
- Developing novel machine learning and data mining algorithms.
- Designing and developing solutions that respond in real time.
- Build data quality checks and re-usable modules for the training.
- Host ML models with production-ready code.
- Designing and executing offline/online experiments.
- Advancing the state of the art of NLP technologies for real world scenarios.
- Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.
Qualifications-
Required Qualifications:
- Master’s/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.
- 3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications.
- Excited to work as part of diverse team and collaborate across geographies.
- Outstanding communication and collaboration skills.
Preferred Qualifications:
- Strong research and/or development experience with machine learning, NLP and data mining.
- Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.
- Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.
- Fantastic problem solver: ability to solve problems that the world has not solved before.
- Proven track record on shipping products/services with high quality.
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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模擬応募者数
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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
3.8
5件のレビュー
ワークライフバランス
4.1
報酬
4.3
企業文化
3.4
キャリア
3.2
経営陣
3.0
65%
友人に勧める
良い点
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
改善点
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
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
面接体験
1件の面接
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
Culture Fit
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