Principal Applied Scientist Manager
Redmond, WA 
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Posted 12 days ago
Job Description
OverviewWe 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 positivelyimpactour culture every day.
ResponsibilitiesMicrosoft 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.

 

Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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