Job Description

Microsoft's mission is to empower every person and every organization on the planet to achieve more and we believe that artificial intelligence will play a critical role in accomplishing that mission. The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality experience to over 500M+ monthly active users around the world in Microsoft's search engine, Bing. Beyond Bing other search engines such as Yahoo, DuckDuckGo, and new startups like Neeva depend on us as well.

We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies such as deep learning. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.

Some examples of our work include:

* Building the world's most comprehensive spelling correction system through zero shot learning (covered by NextWeb, Venture Beat, and ZDNet)
* Using transformer networks for search (covered in Search Engine Land and in State of AI 2020 report)
* Deep learning based question answering and captions (covered in VentureBeat, Search Engine Land)
* Codeveloping our large scale training library called DeepSpeed (covered in SiliconAngle, The Batch)
* Building and open sourcing blazing fast transformer network inferencing (covered in ZDNet and Forbes) including developing our own accelerated chips for inferencing
* Open sourcing our vector search algorithm (covered by Ars Technica and TechCrunch)

If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science and high scale systems, this is the team you're looking for!

semanticsearch

Keywords: semanticsearch

We need experienced data scientists for our measurement data science team. We believe metrics define the strategy for the final product we build. A critical part of the role is to understand our user's behavior and define metrics which not only measure customer success but are leading indicators of long-term retention such as DAU. Furthermore, we need to operationalize these metrics for experimentation which enable the machine learning engineers at Bing to experiment quickly and accurately. Finally, the high-quality data we generate are reused as targets for our AI models which are served at a very broad scale (500+ MAU, 100s of languages, 200 regions worldwide).

* Define, invent, and deliver behavioral and human labeled metrics which accurately measure the satisfaction and success of our customers
* Research, analyze, and decide between various sampling strategies which accurately reflect user perception
* Design a blueprint for how to get high quality labels for segments that require expertise like developer or medical queries from the crowd
* Apply behavioral game theory and social science understanding to get the highest quality work out of crowd workers from around the world
* Enable other machine learning scientists in the broader group to experiment quickly and accurately
* Reuse high quality labels to maximize the accuracy of machine learning models
* Make independent decisions for the team and handle difficult tradeoffs
* Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders
* Partner effectively with program management, engineers, and other areas of the business

Required Qualifications

* Degree in statistics or related field
* 2+ years of industry data science experience
* 6+ years' experience with data science programming such as R, SQL, Excel

Preferred Qualifications

* MS or PhD data science or related field
* Experience with large scale data mining tools such as Spark
* Experience with real world system building and data collection, including design, coding and evaluation
* Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action
* Fantastic problem solver: ability to solve problems that the world has not solved before

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.

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