This role is part of the Microsoft Search & Ads Network (MSAN) modeling team, focused on building large-scale machine learning systems for ads retrieval, ranking, user understanding and marketplace optimization across different surfaces. The team develops end-to-end models that predict user engagement and advertiser value – powering candidate generation, relevance scoring, and serving stack ranking that directly impact ad quality, delivery efficiency, and revenue. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
\nAs a Principal Applied Scientist, you will have a solid background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related field. You will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.
\nQualifications:
\nPreferred Qualifications:
\nResearch experience (publications) in the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference. 2+ years of experience in any of the following areas: ads retrieval and ranking system, statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference. Proficient problem solving and data analysis skills. Proficient software design and development skills/experience.
\n#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across Canada is CAD $142,400 – CAD $257,500 per year. Find additional pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html
\nXML job scraping automation by YubHub
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\nAs a Principal Applied Scientist, you will have a solid background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related field. You will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.
\nQualifications:
\nPreferred Qualifications:
\nResearch experience (publications) in the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference. 2+ years of experience in any of the following areas: ads retrieval and ranking system, statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference. Proficient problem solving and data analysis skills. Proficient software design and development skills/experience.
\n#MicrosoftAI Applied Sciences IC5 – The typical base pay range for this role across Canada is CAD $142,400 – CAD $257,500 per year.
\nXML job scraping automation by YubHub
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