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August 7, 2025

Senior Applied Scientist

Senior • Hybrid • On-site

$119,800 - $234,700/yr

Redmond, WA

Overview

Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with the state-of-the-art online advertising platform and service and Microsoft's advertising team is at the core of this effort. 
 
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user experiences.
We are hiring for multiple Senior Applied Scientist roles on Microsoft Advertising team for the following teams:

 

Signals Modeling team:

(This role is available in Mountain View, CA, Redmond, WA or New York, NY.)

The team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction.

 

The role for this team is focused on building machine learned models for predicting such events. The team looks at all aspects of modeling including training data, features, the actual model (neural nets, linear models, decision trees etc.) and offline and online evaluation of those models.

Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows. At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price.

 

 

 

Demand Intelligence Team:

(This role is available in Redmond, WA.)

 

This team works on the demand optimization initiatives working on various problems including recommendation algorithms and platform components, agentic workflows for advertisers, forecasting solutions for insights and various other initiatives.

 

You will play a key role in driving algorithmic improvements to online and offline systems, developing, and delivering robust and scalable solutions, making direct impacts on both users and advertisers experience, and continually increasing the revenue for Microsoft Ads.

 

 


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.

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.
  • 2+ years of experience in developing and deploying large-scale machine learning models.

Preferred Qualifications:

  • Proven experience in programming and data analysis skills.
  • Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, or transformers.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

 

 

 

#MicrosoftAI #MAI, #MSAN, #Copilot #GTA

Responsibilities

As a Senior Applied Scientist on Signals Modeling Team you will be responsible to:

  • Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
  • Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
  • Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
  • Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
  • Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

As a Senior Applied Scientist on Demand Intelligence team you will be responsible for:

  • Developing Recommendation algorithms in Bid/Budgets/Keywords etc.
  • Selection and Ranking components for Campaign recommendation platform.
  • Agentic workflows for campaign optimization.
  • Forecasting solutions
  • Demand analytical tools
  • Experimentation infrastructure, dashboard, live marketplace monitoring, and diagnosis