As an algo engineer of the Bing Search Ads team, you will work with Research and PM to design, develop, and deliver quality features, with a focus on innovative algorithms and prediction techniques for improving Bing Ads recall, relevance and revenue.
You will apply machine learning algorithms, deep learning techniques, statistical data analysis, computational linguistics, and similar tools to find useful patterns in web-scale data collections. Understand the Search Ads products from end to end, identify areas for major improvements and develop the algorithms to make those improvements real. Measure, interpret, and learn from the results of ongoing testing to make the product even better.
You should have 3+ years of strong expertise in data mining/analysis, machine learning, Natural Language Processing, or similar areas;
• Strong communications skills (both verbal and written);
• Great intuition and ability to “make sense of the numbers.â€
• You should be self-motivated and self-directed. A demonstrated ability to come up-to-speed quickly on a new technical domain is presumed. And the ability to work well in a team environment is very important.
• Knowledge and experience in any of the following areas is strong plus: C/C++ coding, Information Retrieval, Recommendation Algo & System, Data Mining, Natural Language Processing, Machine Learning, strong understanding of the search/Ads ecosystem and marketplace along with technology, experience writing code in production systems at large scale.
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 orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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 orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Job ID: 31031
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