トレンド企業

Microsoft
Microsoft

Empowering every person and organization on the planet to achieve more.

SENIOR APPLIED SCIENTIST

職種機械学習
経験シニア級
勤務地Taiwan, Taipei City, Taipei
勤務オンサイト
雇用正社員
掲載1ヶ月前
応募する

Overview

Microsoft is innovating rapidly in advertising to grow its share of global markets by providing the advertising industry with the state-of-the-art online platform and service. Our team is at the forefront of innovations by harnessing the power of generative AI and LLM-driven agents. We focus on building powerful models, intelligent agents, and scalable training pipelines that drive text and multimedia ads content creation, ads performance optimization, and automated customer support across online ads scenarios. We are a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds.

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

  • Design, training/evaluation, development/deployment of advanced models (LLM/MLLM/SLM) for automated customer support, ads performance optimization, and ads content creation.
  • Apply solid problem-solving and data analysis skills to identify opportunities, optimize performance, and deliver measurable business impact.
  • Stay up to date with the latest advancements in generative AI, LLM-driven agent, online advertisement, and make integration and improvement for our systems.
  • Develop scalable and robust algorithms and pipelines for efficient model training, data processing, online serving and measurement.
  • Collaborate with cross-functional teams, such as product managers and Infra/UI engineers, to define strategies and deliver solutions that enhance our systems.
  • Present problems, insights, technical solutions, and results clearly to both technical and non-technical stakeholders.

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.
  • Proven track record of leading projects and delivering successful results in related areas.
  • 3+ years of experience in machine learning, large AI model or LLM-driven agent development and application.
  • Proven ability in technical innovation and creative problem-solving is a plus.
  • Proficiency in programming languages such as C++/C# and Python.
  • Ability to implement ideas quickly and iterate based on feedback and experiments.
  • Solid communication and presentation skills, with the ability to collaborate productively in cross-functional teams.

Preferred Qualifications:

  • Master'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 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.
  • Hands-on experience in LLM/MLLM or text/multimedia content generation model training, or agent algorithm development.

#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

Microsoft

Public

Microsoft 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