
Applied Scientist II | Microsoft | n/a
Local Jobs Microsoft posted 2 weeks ago ShortlistJob Description
Responsibilities
Microsoft is innovating rapidly in this space to grow its share of this market by providing the advertising industry with the state-of-the-art online advertising platform and service. Bing Ads Marketplace and Serving (MPS) team is at the core of this effort, responsible for research & development of all the algorithmic components in our paid search advertising technology stack, including:
- User/query intent understanding, document/ad understanding, user targeting
Relevance modeling, IR-based ad retrieval
User response (click & conversion) prediction using large scale machine learning algorithms
- Network protection, fraud detection, traffic quality measurement
Rich and innovative Ad products that add relevant and personalized information
Advertising metrics and measurement, including relevance and ad campaign effectiveness
Data mining and analytics
Supply-demand forecasting
Ad campaign planning and optimization
Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.
We heavily use the recent advances in grid or cloud computing infrastructure to harness huge volume of data for solving many of the above mentioned problems. We love big data! The MPS team is a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds of millions of users and advertisers, and directly impact our business. Our experimentation infrastructure allows us to innovate and test new algorithms rapidly with live traffic to measure their effectiveness, and launch them in production as soon as they produce positive results, which makes our work environment productive and rewarding. We are looking for an Applied Scientist or Machine Learning Scientist to incubate technologies from end to end to make product impact. The candidate will engage in high potential projects grounded in applications to improve our ad, query and web page understanding.
Qualifications
Skills & Qualifications:
Outstanding expertise and hands-on 3-5 years of experience on machine learning, text analysis, data mining, and NLP
3-5 years experience in software development
Knowledge of C#, C++, Java or Python with 2-3 years of experience
MS/PhD degree in CS/EE or related areas is preferred
Passionate, self-motivated
Effective communication skills, both verbal and written
Familiarity with distributed data processing/analysis and modeling paradigm, such as Map-Reduce and MPI is a plus
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