Senior Machine Learning Scientist

Engineering

Senior Machine Learning Scientist

Compass is building the first modern end-to-end real estate platform by integrating agents, buyers and sellers through technology. Before Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the Artificial Intelligence that cloud, mobile and AI technologies enable.

 
As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform the real estate industry. In 2019 we tripled the size of our Product & Engineering team, and are searching for creative and inspiring colleagues at all levels of the engineering organization to join us as we continue to expand in 2020.
 


About the Role:

As an AI / Machine Learning Scientist at Compass, you will use your experience with state-of-the-art machine learning models and methods to improve every step of the real estate agent, buyer and seller experience at Compass. Leveraging the data-rich features of the real estate industry, you will build technology that analyzes listings and other relevant geospatial features, observes user behavior, ingests financial transaction data and builds models that predict the needs of Compass stakeholders at every step of their real estate journey.


At Compass You Will:

  • Build, develop and scale our machine learning capabilities that powers data science and AI features
  • Be a domain expert on real estate technology and products and an empathetic partner to our customers
  • Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies

What We Look For:

  • PhD in Computer Science, related technical field or equivalent practical experience.
  • 3+ years of relevant experience
  • Strong programming skills in one or more of the following: Python, Go, C++, and/or Java
  • Experience in one or more of the following areas: Search, RecSys, Natural Language Processing (NLP), Computer Vision (CV), Optimization, Time Series Forecasting and Data Mining.
  • Contribution to research communities and/or efforts, including publishing papers at conferences and journals.
  • Relevant work experience, including full time industry experience or as a researcher in a lab
  • Ability to design and execute research and experimentation agenda

 

 


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