Sr. Software Dev. Engineer in Test, Ads Platform

Company: Microsoft
Location: Bellevue, WA
Web: www.microsoft.com

Digital advertising offers a huge business opportunity that is fundamentally a computer science challenge; a perfect fit for Microsoft. The capabilities of digital advertising have resulted in enormous growth in recent years, from literally zero in the mid 90's to a $40+ billion dollar business worldwide today. Advertising, and digital advertising in particular, is being transformed by software. Just as the personal computer brought computing capabilities to a billion people and business around the world, the modern digital ad platform is bringing highly effective advertising to millions of business around the world. However, all of these new capabilities require a great deal of software technology to make it all work. This is a huge computer science problem. We are pushing the edges of computer science in distributed processing systems, data mining, artificial intelligence, computer vision, optimization algorithms, large scale databases, transaction processing, data visualization, and so on.

The Ad Platform team is at the forefront of this vision, making it one of the most strategic and growing teams at Microsoft. Relevance and Revenue (RnR) team within the Ad Platform team has the end to end charter to pick best performing ads by relevance and monetization to be displayed along with Bing search results. The relevance of the displayed ads impacts the end user engagement of Bing users and also has a huge impact on revenue generated per search. Selecting a few among thousands of matching ads is a difficult problem that requires implementing and testing sophisticated machine learning models on large amount of data sets, coming up with new and innovative ways to measure the relevance and overall quality of ads.

We are looking for a Senior SDET for the Paid Search Advertising area within RnR, who is excited to take on these challenges. You will primarily be working to drive testing strategy and direction by example. There are some hard problems in this space which includes online and offline components, cloud scale, in-memory data caches, evolution of a live site and data generation. Investments need to be made in test architecture, performance and scalability, deployment and fundamental quality and approach of testing. This is a place where you will be working with Neural Networks and Bayesian classification, and making money at the same time. You will also drive innovations in test by building quality test tools, test automation and breakthrough test technologies. You will help structure our algorithm experiments in an adaptive trials framework. You should be comfortable with sampling methods and be able to dive in and diagnose inconsistencies with our current sampling strategies and design meaningful experiments while improving the experimentation systems. You will be expected to come up with creative matrix which effectively evaluates accuracy of algorithm.

A successful candidate will have 8+ years of strong technical experience; 8+ years of broad testing experience; 6+ years of strong hands on product development or test development work, effective written and oral communication skills; engineering experience acquired from shipping multiple large commercial software products or online services; ability to influence all disciplines on quality and product strategy decisions; and ability to experiment sophisticated algorithms and statistical models highly desirable. Preference will be given for experience in model-based testing or advanced testing experience. Previous experience with machine learning or artificial intelligence(AI) are strongly preferred. Degree in Computer Science or equivalent experience required.

This position is located in Bellevue, Washington.

_Contact_:
In order to be considered for this position, you must
apply online via our career site

If you have questions about this position, please contact me at tabaj@microsoft.com. Resumes received via email cannot be considered until you formally apply online.