Principal Applied Scientist Manager

We are looking for a  Principal Applied Scientist Manager to incubate technologies from end to end to make product impact and manage a team of Applied Scientists to drive innovations in the stack. 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 both users' and advertisers' experience, and continually increasing the revenue for Microsoft Ads. They will heavily use the recent advances in grid or cloud computing infrastructure to harness huge volume of data for solving many of the above-mentioned problems and leverage large langueage models (LLM) for many of the problems. The Microsoft Advertising Marketplace team is a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into quality products and services that can help hundreds of millions of users and advertisers, and directly impact our 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.  

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

Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with a state-of-the-art online advertising platform and services. Microsoft's advertising team is at the core of this effort, responsible for research & development of all the algorithmic components in our advertising technology stack, including:

• Creative Quality Modeling (Clickbait, Video/Image Quality, Policy violations, Malware etc.).

• User response (click, wins & conversion) prediction using large scale machine learning algorithms.

• Sell side and buy side Optimization.

• Advertising metrics and measurement.

• User/query intent understanding, contextual targeting, user targeting.

• Data mining and analytics.

• Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.

Qualifications

Required Qualifications:

• Bachelor's Degree in Artificial Intelligence, Statistics, Computer Science or related field AND 6+ years related experience (e.g. Machine Learning, Deep Learning, NLP, Computer Vision)
  • OR Master's Degree in Machine Learning Artificial Intelligence, Statistics, Computer Science or related field with 4+ years related experience (e.g. Machine Learning, Deep Learning, NLP, Computer Vision)
  • OR Doctorate in Artificial Intelligence, Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., Machine Learning, Deep Learning, NLP, Statistics, Computer Science)
  • OR equivalent experience.
•  1+ year(s) people management experience.

Preferred Qualifications

• 3+ years people management experience.
• 7+ years of experience in machine learning, deep learning, NLP, computer vision and/or statistics.
• 5+ years’ experience in software development.
• 2+ years of experience in C#, C++, Java or Python. 
• Proficient communication skills, both verbal and written.
• Familiarity with distributed data processing/analysis and modeling paradigm.
• Experience with computational advertising.
• Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision,  data mining, causal inference, information retrieval, game theory.

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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 15, 2024.   

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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