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Senior Applied Scientist

Microsoft

Senior Applied Scientist

Microsoft

China, Beijing, Beijing; Taiwan, Taipei City, Taipei

·

On-site

·

Full-time

·

3mo ago

Overview

Microsoft is aggressively advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of the innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation. We are seeking passionate scientists and engineers to join this world-class team, solve challenging problems, and deliver products that provide value to hundreds of millions of users and advertisers, driving direct, measurable impact on our global business.

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
  • Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.
  • Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.
  • Lead the data collection, model training, evaluation and deployment of advanced image processing and generation algorithms.
  • Analyze system performance and identify opportunities based on data analysis and online experiments
  • Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.


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.
  • 4+ years of industry experience with a focus on computer vison, image/video generation and editing.
  • Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).
  • Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.
  • Proactive communication skills, with the ability to collaborate effectively across algo, product and engineer 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.
  • 5+ years of industry experience with a focus on computer vison, image/video generation and editing.

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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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience