Ads Engineering team is hiring a Senior Applied Scientist in Redmond, WA or Mountain View, CA .

Our team focuses on optimizing ads performance for all advertisers in Microsoft Advertising by bidding on their behalf into real time auctions across our marketplaces. This is done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms.

In our team, engineers and scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, and general operation research.

We build and develop both online stacks as well as offline workflows to support our algorithm. At its core, our team utilizes signals of user and advertiser intent as well as auction’s characteristic to determine in real-time or near-real-time which ads can enter the auctions and their value. Our work directly impacts billions of dollars in revenue annually.  

We are looking for a highly skilled Senior Applied scientist with development skills and a background in quantitative fields such as statistical machine learning, decision theory, operation research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, optimal control.

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.

Responsibilities

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 continually increasing the revenue for Bing Ads. 

Examples of what you may involve in: 

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory. 

• 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. 

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

• Debug model performance and prediction at scale to understand and answer customer questions.

Qualifications

Required/Minimum 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 hands-on experience in applying any of the following areas in the industry: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and Bayesian inference. 

Preferred Qualifications:

• A graduate (Masters' or PhD) degree in Computer Science/Computer Engineering/Mathematics or related quantitative field. 

• 3 years of experience with computational advertising

• 2 years of experience in Automated Bidding or Budget Pacing. 

• Research experience (publications) in the following areas is preferred statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and optimal control. 

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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 May 6, 2024.

#BingAds# #Advertising##webxt#

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) .