QualificationsAzurePyTorchData collectionTensorFlowC++Doctoral degreeBachelor’s degreeMaster’s degreeDoctor of Philosophy
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 at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. 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 together closely. 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:
Developing a massive sparse neural networkto improve search relevance (covered by SiliconAngle, Search Engine Land, Venture Beat)
Building the world’s most comprehensive spelling correction systemthrough 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)
Launching our technology as a cloud service on Azure (a summary of the technologies we used)
Co-developingour 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!
5-6 bullets about the specific things a person in this role will do/impact they can have and the things they’re ultimately responsible for producing, contributing
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.