
Empowering every person and organization on the planet to achieve more.
SENIOR APPLIED SCIENTIST
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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关于Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
员工数
Redmond
总部位置
$3000B
企业估值
评价
10条评价
4.4
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
4.3
职业发展
3.8
管理层
4.0
82%
推荐率
优点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
缺点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
薪资范围
5,620个数据点
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1份报告
$234,166
年薪总额
基本工资
$180,128
股票
-
奖金
-
$234,166
$234,166
面试评价
1条评价
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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