Principal Applied Scientist

Microsoft Audience Network (MSAN) part of the Web Experiences Team  is seeking a Principal Applied Scientist to join us in Redmond, WA or Mountain view, CA. 

This is an opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform.

As the Principal Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as natural language processing(NLP) , computer vision(CV) , and large language models(LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.

Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly infuse curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.

Our Culture: Microsoft Culture

Responsibilities

• Participate in design, implementation, and execution across a variety of features regarding data science and machine learning 
• Drive innovations in analytics applications, retrieval, ranking and generic NLP, CV models used in an ads recommender systems 

Other

• Embody our Culture and Values

Qualifications

Required qualifications:

• Bachelor's 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 Master'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 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:

• PhD with research experience in data science, machine learning and/or related fields
• Experience developing end to end analytics solutions or ML systems for real world applications
• Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD, CIKM, SIGIR, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

Applied Sciences IC5 - 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 September 16, 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 or