Microsoft Principal Applied Scientist 

United States, California, Mountain View 

644956651

background in Machine Learning, Reinforcement Learning, Causal Inference, Large Language models, Natural Language Processing (NLP)/Natural Language Generation (NLG) techniques, Control Theory, Data Science, Data Mining, or related fields

This role is located in eitherorRedmond, WA.

at web scale

selecting relevant ads and modeling how users interact with ad content on a search engine.

Generating and uad contentand predicting how the user interacts with the ads on the search results page, or conversational interfaces, are critical modeling tasksThe probability that a user will click on an adwith the advertiser’safter clickingimportant for measuring advertiser and user satisfaction. This position is for themodels for predicting such events. Matchingadvertiser provided contentand alsodynamically creating informative ad content to address

Large Language Models,neural nets, linear models,Gradient Boost Decision Tree(GBDT)) and offline and online evaluation of those models.

Engineers and scientists on ourat the edge ofmachine learningand economics developing in the online stack as well as offline workflows.

signals of user and advertiser intent towhich ads areand at what price.

Required/Minimum Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
• 7+ years of experience in Research or Data Science role.

Preferred Qualifications:

• Research experience (publications) in the following areas is preferred:statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference.
• Expertiseand practical experience in using statistical machine learning, deep learning, data mining, information retrieval,optimizationand Bayesian inference.
• Enhanced problem solving and data analysis skills.
• Effective communication skills, both verbal and written.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until August 12, 2024.

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machinelearning;
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertiser’s return on investment.
• Develop models for causal reasoning using techniques from AI, ML, and statistics.

• Embody our