Software Engineer 2~Senior Software Engineer-M365 WPI
Suzhou, Jiangsu, China

Workplace Intelligence team is the only user faced product E2E development team in Suzhou M365. We are providing value-added services based on the user’s data and activities in M365, privacy protected according to compliant policy.

The assistance we provide has included the following aspects : Protect your time : to make your work more efficient and trackable.

Wellbeing : To protect your own private time and protect your work life balance. Network : Keeping a health relationship with your coworkers.

Collaborations : make your meeting more efficient. Others For example, we can detect whether you will take a vacation by studying your email and activities, so that we could help you to cancel some meetings during your vacation, send notifications to your collaborators and list the works you left before your leaving.

We can also help you to book focus time in your working hour, so that people will not set up the meeting with you when the time slot is booked from your confirmation based on our suggestion.

To provide those assistances, our team not only needs to engage in backend service development, user interface construction, but also data mining and AI challenges.

Joining this team, you will have chances to experience different tech stack and have a broader area for your technique growth.


You will be responsible to execute on the team’s Machine learning efforts as we aim to extract intelligence from user interactions and contents in a compliant boundary.

  • You will go deep on a range of tasks including data mining, data annotation, and language processing.
  • You will help establish and implement data pipelines.
  • You will have ample opportunity for cross group collaboration, technical product definition and applied research.
  • You will also have the chance to implement your model online and support real product.
  • Qualifications

    BS, MS or PhD in Computer Science, Statistics, Mathematics or related field

    3+ years working on production ML data pipelines

    2+ years of one or more of : named entity recognition, topic classification, knowledge graphs.

    Fluency with recent NLP & ML advancements, bert, attention, LSTMs, etc.

    Strong coding skills in one or more of Python, C / C++, Java, Scala, C#


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