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Microsoft Corporation Senior Software Engineer in Bellevue, Washington

If you have passion to learn and work on advanced statistical and machine learning solutions to analyze the results of thousands of concurrent large scale experiments and to provide insights into changes in marketplace, then this is for you! We are 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 teams charter:

Enable trustworthy measurement of Advertisers and End Users experience through Online Experimentation and Marketplace Understanding to drive business decisions that improve our product.

Responsibilities

  • A successful candidate should be passionate about large scale high fidelity numerical computing.

  • The candidate will collaborate with scientists to design and develop scalable mission critical systems that will support key decision making processes. The solutions will be developed on Cosmos (Microsoft Map/Reduce environment) and/or cloud compute hosts as appropriate. Example responsibilities include: Building and owning large scale batch systems to execute advanced statistical algorithms and machine learning models.

  • Designing and building interactive visualization interfaces (e.g. Power BI, web based)

  • Designing and developing a library of reusable analytical APIs and tools

Qualifications

Required Qualifications:

  • B.S. in Computer Science (or related discipline).

  • Solid software development and engineering experience. (Minimum 3 years)

  • Good understanding of data structures and computer science fundamentals.

  • Working experience in SQL

  • String coding experience in C#, Java or C++.

  • Great design and problem solving skills, with a strong bias for quality and engineering excellence at scale.

  • Experience on one or more scripting languages such as Python, R or Perl.

Preferred Qualifications:

  • Familiarity with statistics/experimentation.

  • Experience in big data platforms like Hadoop, MapReduce, spark or large scale NoSQL.

  • Experience in building ETL data pipelines.

  • Understanding of Azure technologies like ADF, Azure functions.

  • Experience in hosting machine learning model for production environment.

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 (https://careers.microsoft.com/us/en/accommodationrequest) .

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

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