Senior Machine Learning Scientist


Are you ready for a real challenge? CASAFARI is young but growing fast, which means you’ll get to help shape our future and revolutionise the real estate industry.

We’re looking for a passionate, proactive and pragmatic Senior Machine Learning Scientist to join our team of 20+ nationalities. You'll grow with us as we strive to fulfill our mission and vision: to bring transparency to the real estate market with the cleanest and most complete real estate database in the world.

Our end products are: a metasearch like Trivago or Skyscanner, a daily market data feed like Bloomberg Terminal, and we are currently building property market analytics with the most complete database updated in real time.


  • 3+ years of professional experience in machine learning, statistical modeling, data mining
  • A PhD in CS, Machine Learning, Statistics or in a highly quantitative field
  • MSc in CS, Physics, Applied Mathematics are encouraged to apply as well
  • The ability to write production-level Python code
  • Experience with XGBoost, NLTK, TensorFlow
  • Understanding of MongoDB, MySQL, Scala


We build the first real estate meta search powered by AI with a great number and diversity of projects: web crawling (thousands of sources), anomaly detection, NLP, computer vision, duplicate ads detection, market analysis and prediction. All projects are interconnected, therefore you would be able to work on all of them with the team. At a glance here are the main projects you would be involved in:

  • General Machine Learning: anomaly detection, duplicate listing detection & matching (there can be up to 50 different listings per property with varying meta data).
  • NLP: named entity recognition, information extraction such as types of the property, names of locations, status of property listings (from text and images), features of the property.
  • Computer vision: object identification, image classification, duplicate detection.

What needs to be done:

  • Proprietary datasets on the biggest market in the world - real estate
  • Achievement-based performance evaluation, %% bonus
  • Employee stock option / equity
  • Growth focused mindset
  • Fast growing company

Thank you for applying for this position. All candidates are important to us, but due to the high level of responses we receive, we only contact successful applicants. We wish you all the best in your search for a new position.

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