Principal Applied Scientist Auction & Bidding

TheAdsMonetizationAlgo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem bybiddingon their behalf in real-timeauctionsacross our marketplaces. We are also responsible for designing and optimizing theauctionsfor the long term. All of these works are done through algorithm development optimization and experimental analysis of advertiser strategies our teamappliedscientists work together and utilize all sorts of platforms techniques and approaches including but not limited to mathematical modeling and optimization machine learning optimal control game theory and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core our team utilizes signals of user and advertiser intent as well asauctioncharacteristics to determine in real-timeornear-real-time whichadscan enter theauctions. Our work directly impacts 10 billion dollars in revenue annually.

We are looking for a highly skilledappliedscientistwith development and management skills and a background in quantitative fields such as statistical machine learning decision theory operations research optimization theory mathematical modeling data mining causal inference information retrieval game theory mechanism design and optimal control. They 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 advertisers experience and the ad marketplaces long-term health to collectively and continually increase the revenue for Microsoft Advertising.

Microsofts 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.

• Designing implementing and analyzingbiddingstrategies using techniques from optimization control theory.
• Designing prototyping and analyzing differentauctionmechanisms given specific product area.
• Designing and overseeing large-scale long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers return on investment.
• Implementing methods for optimizing the marketplace at the large scale.
• Developing models for causal reasoning using techniques from AI ML and statistics.

Required Qualifications:

• Bachelors 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 Masters 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 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.

Preferred Qualifications:

• Masters Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 9 years related experience (e.g. statistics predictive analytics research)
  • OR Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 6 years related experience (e.g. statistics predictive analytics research)
  • OR equivalent experience.
• 8 years of experience developing and deploying live production systems as part of a product team.
• 3 Years of experience in Auto-Bidding or Auction Design.

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Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142800 - $274800 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 $188000 - $304200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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.

Required Experience:

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