Senior Applied Scientist

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Edge Machine learning team is the core AI team behind Edge browser. We are looking for passionate ML Software engineers, Applied Scientists to help us on our mission to build the most intelligent web browser ever by developing SOTA machine learning, deep learning technologies to understand various web content as well user behaviors.

As a team, we have deep investments in a variety of core AI areas to develop intelligent user experiences such as Agent, LLM, Ranking, etc. Some of our works have been published on top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc. We also collaborate regularly with Microsoft Research Asia and partner production teams to explore cutting-edge NLP technology to deliver both production and research impact.

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 make real product impact to hundreds of millions of users, this is the team you’re looking for!

-Minimum: Master; Preferred: advanced degree and/or industry experience
-Experiences in applying deep learning techniques and drive E2E AI product development (LLM, Search, NLP, etc).
-Excellent coding experience in Python, C++, C#, C or Java
-Familiar with common machine learning, deep learning frameworks like Pytorch/Tensorflow
-Passionate and self-motivated, Ability to effectively collaborate and ship production features in a multi-project, fast-paced team environment.
-(For manager) awesome project / people management experiences
-Good communication skills, both verbal and written

• Develop next-generation AI experiences for Microsoft Edge — leverage machine learning and generative AI to reinvent how users browse, search, and interact with the web.
• Advance Edge’s contextual intelligence by building models that synthesize browsing history, page content, and user intent to deliver proactive, personalized, and trustworthy assistance.
• Drive innovation in agentic systems, prototyping and productionizing conversational, reasoning, and planning models that transform Edge from a static browser into a true AI companion.
• Collaborate cross-functionally with product managers, designers, and engineers to translate AI capabilities into elegant, high-utility user experiences.
• Own the full AI feature development lifecycle — from data pipeline and evaluation metric design to model and prompt tuning, quality validation, and continuous improvement.