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Applied Scientist II - Microsoft Corporation
Redmond, WA
Posted: Mar 06, 2024 03:16

Job Description

Applied Scientist II

Microsoft is innovating rapidly in the advertising space to grow its share of this market by providing the ad industry with state-of-the-art online advertising platforms and services. By joining the Creative Quality team, you will be responsible for evolving a technology platform that powers the real-time sale and purchase of digital advertising. Our platform is engineered to provide one of the fastest, most reliable, and massively scaled advertising systems in the industry.

We are looking for an Applied Scientist to incubate technologies from end to end to make product impact. 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 LLM's for many of the problems. The Microsoft Advertising Marketplace team is a world-class team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-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.

Embody our Culture and Values .

Responsibilities

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

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

- Auction Optimization

- Advertising metrics and measurement

- 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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

  • OR equivalent experience.

Preferred/Additional Qualifications

  • Outstanding expertise and hands-on 3+ years of experience in machine learning, deep learning, NLP, computer vision and/or statistics

  • 3+ years' experience in software development

  • Knowledge of C#, C++, Java or Python with 2-3 years of experience

  • MS/PhD degree in CS/EE or related areas is preferred

  • Familiarity with distributed data processing/analysis and modeling paradigm.

  • Experience with computational advertising.

  • 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.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 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) .



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