Microsoft AI (Artificial Intelligence) is looking for a Senior Principal Applied Scientist with expertise in fields like Machine Learning, Reinforcement Learning, Causal Inference, Large Language Models, Natural Language Processing (NLP), Natural Language Generation (NLG), Control Theory, Data Science, Data Mining, or related areas.

This position will be based in either Mountain View, CA , or Redmond, WA .

In this role, you will contribute to the development and implementation of advanced AI methods at a web scale. Key responsibilities include enhancing algorithms for both online and offline systems to deliver scalable solutions, which improve the experience of both users and advertisers. The work impacts Microsoft Ads, Microsoft Audience Network, Copilot, and more.

The team focuses on selecting relevant content such as ads and modeling user interactions. This involves understanding and generating ad content, as well as predicting user engagement with ads on search result pages or conversational interfaces like Copilot. Accurately estimating user interaction metrics, such as click-through rates, is essential for evaluating satisfaction for both advertisers and users.

As part of the Signals Modeling team , the role involves developing machine learning models to predict interactions between users and ads. The team works on all aspects of modeling, including data preparation, feature engineering, model development (e.g., Large Language Models, deep neural networks, linear models, and Gradient Boosted Decision Trees), and model evaluation both online and offline.

Scientists and engineers on the team work at the intersection of machine learning and economics, managing both online and offline workflows. Their goal is to utilize signals of user and advertiser intent to allocate ads and set appropriate prices

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Design and build efficient models for predicting user interactions with ads and advertiser’s pages.

• Design and oversee large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

• Design automation algorithms for advertisers using techniques from AI and ML to improve advertiser’s return on investment.

• Develop models for causal reasoning using techniques from AI, ML, and statistics.

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values. (https://careers.microsoft.com/us/en/culture)

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience

• 8+ years of experience in Research or Data Science role.

Preferred Qualifications:

• Research experience (publications) in the following areas is preferred: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference.

• Expertise and practical experience in using statistical machine learning, deep learning, data mining, information retrieval, optimization and Bayesian inference.

• Enhanced problem solving and data analysis skills.

• Effective communication skills, both verbal and written.

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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 for the role until December 31, 2024

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .