QualificationsAnalysis skillsAzureNatural language processingData collectionC++Master’s degree
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:
1. Developing a massive sparse neural network to improve search relevance (covered by SiliconAngle, Search Engine Land, Venture Beat)
2. Building the world’s most comprehensive spelling correction system through zero shot learning (covered by NextWeb, Venture Beat, and ZDNet)
3. Using transformer networks for search (covered in Search Engine Land and in State of AI 2020 report)
4. Deep learning based question answering and captions (covered in VentureBeat, Search Engine Land)
5. Launching our technology as a cloud service on Azure (a summary of the technologies we used)
6. Co-developing our large scale training library called DeepSpeed (covered in SiliconAngle, The Batch)
7. Open sourcing our vector search algorithm (covered by Ars Technica and TechCrunch)
8. Building and open sourcing blazing fast transformer network inferencing (covered in ZDNet and Forbes) including developing our own accelerated chips for inferencing
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!
Responsibilities
Advance the state-of-the-art machine learning and NLP algorithms for real-world large-scale search and recommendation systems and applications.
Work on the full lifecycle of machine learning development including training data collection, feature engineering, model training, offline and online experimentation, and deployment.
Mentor and grow junior engineers in the team.
Qualifications
Required Qualifications:
Master or advanced degree
4+ years of experience applying Machine Learning techniques
4+ years of experience coding in Python, C++, C#, C or Java
Preferred Qualifications:
Good organizational, analytical, data science skills and intuition
Good problem solver; ability to solve problems that the world has not solved before
Interpersonal skills: cross-group and cross-culture collaboration.
Experience with real world system building and data collection, including design, coding and evaluation 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.