Applied Scientist II

Last updated one month ago
Location:Bellevue, Washington
Job Type:Full Time

Online Advertising is one of the fastest growing businesses on the Internet today - serving millions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence.

The Bing Ads Relevance team is at the center stage of this exciting new interdisciplinary field that involves natural language processing, query understanding, machine learning, data mining, and statistics, to solve challenging problems that arise in online advertising. The central problem of computational advertising is to select an optimized slate of relevant ads for a user to maximize a total utility function that captures the expected revenue, user experience and return on investment for advertisers. We are a world-class R&D team of passionate and talented scientists and engineers who aspire to solve tough problems and turn innovative ideas into high-quality products and services. We help hundreds of millions of users find what they want, and advertisers gain the right audience, thereby directly impacting our business as a Marketplace.


Job responsibilities include: - Building and owning production machine learning models to predict ads relevance.- Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis.- Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.- Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL.- Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.


- A bachelor’s degree in computer science or a quantitative domain.

- 2+ year experience delivering, scaling, and owning highly successful and innovative machine learning products with your fingerprints all over them.

- Experiences with C++/C#/Java, and Python or R is preferred.

- Have good understanding of state-of-the-art natural language processing, machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.) will be very helpful.

- Excellent verbal, visual and written communication skills.

- Self-motivated and self-directed and be able to work constructively with a wide variety of people, team and changing business priorities.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.