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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:
Preferred Qualifications:
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.
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