Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive years of related experience (e.g., statistics, predictive analytics, research)
Master's Degreein Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Extensive years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
Ability to apply research, preferring the large-scale application ofnew ideasover theory and prototypes.
Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops.
Preferred Qualifications
in Python for data science workflows,leveraginglibraries such as NumPy, Pandas, scikit-learn, Matplotlib, andJupyterfor data analysis, experimentation, and rapid prototyping
Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, etc.).
Experience with Agent based architectures,frameworksand technologies (such as MCP, A2A protocol,Langchain, Azure AI Foundry)
Experienced in web application development frameworks, such as React
Experience delivering a Cloud SaaS product on Azure,AWSor GCP
A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g.,NeurIPS
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements arerequiredfor this role. These requirements include but are not limited to the following specialized security screenings:
requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Responsibilities
Responsibilities
Defining, leading, and helping to conduct research projects that simultaneously advance thestate-of-the-artand directlybenefit
with people in a range of roles, including researchers,engineers, product managers, designers, and other key product stakeholders.Servingas a bridge between research and product.
Teaching, guiding, and tutoring colleagues without research backgrounds instate-of-the-arttechniques and research best practices.
Many of the thingsyou will try shouldlead to unexpected outcomes.Youmust be comfortable learning from experience, developing new hypotheses, and iterating.
your researchwith others via a range of means, including publication,to enable others to build onyourwork and tocontribute tothe understanding of our productsascutting-edgeand science driven.
Effectively communicating with product leaders (and often MSR researchers) throughout the planning andexecutionof applied research projects, which often involves learning and teaching complex concepts.