DirecciónOverview
The essence of roles within our Bing Ads are :
- Deliver relevant content.
- Help discovery for businesses.
- Fuel the open internet and promote equality in information accessibility.
Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online.
Likewise, Bing Native ads has been one of the fastest growing teams in Microsoft experiencing 3 digits percentage revenue growth.
This speeds up even more as Microsoft aims to monetize Windows, Outlook, Xbox, and other services via advertising means.
Computational advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, and micro-economics, to solve challenging problems that arise in online advertising.
The central problem of computational advertising is to select an optimized slate of eligible ads for a user to maximize a total utility function that captures the expected revenue, user experience and return on investment for advertisers.
Bing native ads is a unique opportunity where individuals exposed to, learn, impact on, grow in ML fields, Big Data, Statistics and Measurements, Algorithmic Game Theory and Economics, Efficient Algorithms and more.
Qualifications
Required Qualifications :
- Outstanding expertise and hands-on experience on machine learning, Algorithmic Game Theory or Optimization.
- Experience in software development
- Knowledge of C#, C++, Java or Python
- 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
BingAds# #WebXT#
Responsibilities
Microsoft is innovating rapidly in online advertising space to grow its share 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 and native 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
- Rich and innovative Ad products that add relevant and personalized information
- Strategic Optimization of Marketplace (mechanism design).
- Advertising metrics and measurement, including relevance and ad campaign effectiveness
- Supply-demand forecasting
- Ad campaign planning and optimization
- Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.
Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect
