Skip to main content

Principal Software Engineer

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.   Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user event data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence. Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, operations research, 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. 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 Relevance and Revenue (RnR) team is at the core of this effort, responsible for research & development of all the algorithmic components in our 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

• Marketplace mechanism design and optimization, and whole-

  page experience optimization

• Personalization

• Innovative new ads products

• Network protection, fraud detection, traffic quality

  measurement  

• 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 a huge volume of data for solving many of the above-mentioned problems. We love big data! The RnR 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.   The Ad products team in Bing Ads is responsible for building ad decorations to enhance existing ad products like Text Ads and product ads as well as build new innovative ad products (like hotel price ads) to generate new revenue streams for Bing. The ad products team is a strong click driver for the Bing Ads marketplace producing high quality clicks which increases advertiser ROI and leads to higher user satisfaction. The team has a mix of system experts, machine learning engineers, data analysts and has experience in UI design. Roles & Responsibilities We are looking for a Principal Software Engineer with experience in end-to-end development of products. The role will involve working and leading through all aspects of product development - Demand Generation, Data Ingestion, Machine learning modeling to find relevant patterns of product data, and exposing the data with attractive UX. The person will be responsible for building the next generation of innovative ad products which will generate new sources of revenue for Bing and Microsoft, delight our users by satisfying their commercial intent and excite our advertisers by giving them great return on their investments.  


Skills & Qualifications


• Outstanding expertise and experience in end-to-end product

  development

• Excellent problem solving and data analysis skills.

• Passionate, self-motivated.

• Effective communication skills, both verbal and written.

• Strong software design and development skills/experience.


Experience Required  


• BTech degree in CS/EE or related areas is required.

• MS/pHD degrees are a plus.  

• Experience in online advertising is a plus Experience in end-to-

  end innovative product design is plus Familiarity with

  distributed data processing/analysis, such as Map-Reduce and

  MPI and ML technologies and modeling is preferred.

• Experience in online advertising is a plus.


XIPGERX

XPRINAIX


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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com.

Job #

1074571

Locations

United States, Sunnyvale (CA)

Job families

Development (engineering)

Teams

AI & Research
Feedback