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WeWork is transforming buildings into beautiful, collaborative workspaces for creators.
Engineering, Full Time    Palo Alto    Posted: Monday, November 12, 2018
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WeWork manages 300 buildings & serves 250,000 members around the world. Workspace intelligence is critical for building a community that enhances productivity, encourages innovation, & strengthens collaboration.

Workspace intelligence relies on datahow to gather it, how to analyze it, & what to do with the knowledge derived from it. We invest in areas such as pervasive computing, data management, machine learning, & computational social science to understand the environment, the people, as well as how they interact with other. Furthermore, we also analyze data in the digital world: We uncover social dynamics from digital communication including emails, messages & social networks.

Roles & Responsibilities

We collect, manage, & perform sophisticated analysis on a large variety of data that involve spaces, people, events, & their interplays.

  • Sensor networks & ubiquitous computing
  • Data management & query processing
  • Distributed systems & cloud computing
  • Social network analytics
  • Machine learning (computer vision, NLP, etc.)

Responsibilities vary based on your passion & experiences. Key responsibilities include conducting research in the abovementioned disciplines, designing & implementing prototypes as well as scalable solutions, collaborating with multi-functional engineering teams, including teams that work on smart buildings, core platforms, growth & engagement, etc., in order to make impact in workspaces all around the world.


  • Ph.D. / M.S. / B.S. in Computer Science, or related field.
  • Knowledge & experience in one or multiple of the following areas: data mining, data management systems, statistical analysis of big data, machine learning, recommendation modeling & systems, social network analysis.
  • Experience in large scale data analysis & data management systems.
  • Experience in C++, Python, Java, SQL (or other programming languages & scripting languages)
  • Excellent written & communication skills, ability to communicate effectively to both technical & nontechnical audiences

We are an equal opportunity employer & value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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